67 Commits
Author SHA1 Message Date
AdrienBouvais 389060c238 Update zon version 2026-05-27 08:32:29 +02:00
AdrienBouvais a75252b68f Renamed gloc with glloc 2026-05-27 08:27:44 +02:00
AdrienBouvais d010b37801 Removed link in fetch code snapped in README 2026-05-22 08:20:25 +02:00
adrien e61c5f775d Prevent building example when use as module 2026-05-21 23:33:54 +02:00
AdrienBouvais d503ce7dea Added optional label in definitions and added logs when alloc, free and device info 2026-05-21 10:26:20 +02:00
adrien 69f9cad2c1 Updated README ref 2026-05-20 15:45:02 +02:00
adrien c5d7fd927d Updated README and build.zon version 2026-05-20 14:04:25 +02:00
adrien 17977cc718 Merge branch 'render' 2026-05-20 13:47:43 +02:00
adrien 5104d61ef6 Synthax for compute example 2026-05-20 13:41:04 +02:00
adrien 7d5331aed7 Circle example use device allocator directly 2026-05-20 13:39:20 +02:00
adrien 7d425e4061 Changed how Allocator work to be more Zig like
Now GpuArena doesn't do everything.

- Created GpuDeviceAllocator that allocate to the device
- GpuArena become GpuArenaAllocator and use a child_allocator like
std.heap.ArenaAllocator
2026-05-20 13:32:37 +02:00
adrien a06b040a29 Render and COmpute Pipelines now use a gloc and is tracked by Arena 2026-05-20 12:29:41 +02:00
adrien af210e2fb2 Working self contained rendering (simple circle) 2026-05-20 11:46:06 +02:00
adrien 545c4b98e9 Create a GpuTextureView 2026-05-20 10:56:35 +02:00
adrien 45c0f3180e Created a GpuTextureDef 2026-05-20 09:55:34 +02:00
adrien fc57bee3af Created GpuPrimitiveTolopogy to replace c.WGPUPrimitiveTopology 2026-05-20 09:37:46 +02:00
adrien bcb1b1e98b GpuRender now take a GpuTextureFormat and not a c.WGPUTextureFormat 2026-05-20 09:24:37 +02:00
adrien 32f5d2b828 Added GpuTexture tied to arena like buffer 2026-05-20 09:14:54 +02:00
adrien ad3fcf2592 Basic working circle render pipeline 2026-05-19 21:58:14 +02:00
adrien 83ef8bcd12 Renamed ProcessDef to COmputeDef 2026-05-19 21:35:52 +02:00
adrien e467539f6e Renamed GpuProcess to GpuCompute 2026-05-19 21:15:31 +02:00
AdrienBouvais fb2f454c1c Removed unused import 2026-05-19 09:18:26 +02:00
AdrienBouvais 7e1bc387ca Synthax 2026-05-19 09:15:32 +02:00
AdrienBouvais 09e62cf667 Update README and comment for new GpuProcess 2026-05-19 08:00:42 +02:00
AdrienBouvais 62b5224e6e Changed GpuProcess to use a definition
Now GpuProcess isnt limited to 2 in, 1 out but to anything.
2026-05-19 07:54:16 +02:00
AdrienBouvais 44d26feba5 . 2026-05-19 07:41:50 +02:00
AdrienBouvais bfac170936 Added better dependencies info in README 2026-05-19 07:35:08 +02:00
adrien 523a9b69ac .Synthax 2026-05-18 23:21:26 +02:00
adrien 571a9db71f Started to add a mnist Deep Learning example
No reason why, that for the love of the game
2026-05-18 23:11:58 +02:00
adrien 6ec53bb909 Moved add and bench into an examples directory so src is just the library 2026-05-18 22:57:13 +02:00
adrien 6b933465b0 Better example 2026-05-18 17:00:44 +02:00
adrien 3d9cb4df04 Removed TensorInfo from example shader 2026-05-18 16:45:55 +02:00
adrien c62bead6e9 Better example (no Vec) 2026-05-18 16:38:30 +02:00
adrien 9dbd668de9 . 2026-05-18 16:33:26 +02:00
adrien 50bf436fa5 Update README 2026-05-18 16:33:07 +02:00
adrien df4eb36bc8 Added README 2026-05-18 16:30:27 +02:00
adrien c7afe28cc6 GpuBuffer align with size 4 as required by WebGPU
Otherwise a GpuBuffer of a single f16 is too small (only 2) and a eneven
f16 wouldn't work either
2026-05-18 16:24:43 +02:00
adrien d9cb4c4672 Better example comments 2026-05-18 16:18:58 +02:00
adrien 3a09e11f54 Deleted Vec.zig 2026-05-18 16:05:50 +02:00
adrien e608681ce1 Added preference power in DeviceCOnf 2026-05-18 16:05:42 +02:00
adrien d2b0735540 Moved all f32 out of GpuXxxx to all be in Vec 2026-05-18 15:35:38 +02:00
adrien 8e137c8f33 Vec no longer need import c 2026-05-18 15:28:28 +02:00
adrien 97d5f9001f Removed GpuPipeline for a GpuProcess 2026-05-18 15:28:02 +02:00
adrien d5e7f60926 Moved read stuff to GpuBuffer directly 2026-05-18 14:27:11 +02:00
adrien 2673aef0fd Moved c.gpuQueuWriteBuffer to GpuBuffer 2026-05-18 14:16:01 +02:00
adrien 7ce6b9cd1d Better example 2026-05-18 14:11:17 +02:00
adrien f5daf66784 Changed GpuAllocator to be like std.mem.Allocator
Now it is 2 ptr and I created a GpuArena. Point is to be like Zig, a
const allocator and a var arena that track everything.
2026-05-18 14:07:28 +02:00
adrien c3166e552b GpuBuffer init now take a EnumSet of BufferUsage and not a c.WGPUBufferUsage 2026-05-18 10:49:11 +02:00
adrien d42c521a96 Added f16 capability 2026-05-18 10:12:36 +02:00
adrien 0fc5f5dbb8 GpuBuffer can be for any float and init now 2026-05-18 09:31:58 +02:00
adrien 545e67d72f Added a example.zig 2026-05-18 00:19:37 +02:00
adrien 0fcb9ee351 Synthax improv + GpuDeviceConfig 2026-05-18 00:10:09 +02:00
adrien 6a2cbe2734 Removed const x = @This() to just use @This() 2026-05-17 23:54:58 +02:00
adrien 1c8e12b1e6 Added a VRAM limit to GpuAllocator 2026-05-17 23:51:51 +02:00
adrien 38538fcd80 Removed waiting for each run and moved it in bench directly 2026-05-17 23:18:49 +02:00
adrien f56dfe7ecc Removed main.zig to become bench.zig + better benchmark + wait for calcul to be done in Vec.submitPass 2026-05-17 21:35:16 +02:00
adrien 01bc0954b0 Update lib.zig 2026-05-17 21:20:35 +02:00
adrien cb19cd8e30 Mat to Vec + changed how its API work 2026-05-17 21:19:24 +02:00
adrien 7b9a7fe7a9 Created a GpuPipeline 2026-05-17 21:05:30 +02:00
adrien cef6155f41 Splited GpuAllocator into GpuAllocator and GpuDevice 2026-05-17 20:55:49 +02:00
adrien d57968d6df Removed unused GpuConfig 2026-05-17 20:47:08 +02:00
adrien 2c52c202fe Changed MAt.read to take an allocator 2026-05-17 20:39:03 +02:00
adrien 915c5cea65 Removed _pip_add and scale to a pipelines struct 2026-05-17 20:16:19 +02:00
adrien a381c71550 Fixed binding size limit error by chunking to max 1GB binding 2026-05-17 17:52:07 +02:00
adrien cfc1069309 Removed GpuBuffer limits 2026-05-16 00:26:07 +02:00
adrien 90a7cf946f Changed main to be a benchmark of different size 2026-05-15 18:46:07 +02:00
adrien 0da02f60c4 Created a GpuBuffer + an arry in GpuAlloc to deinit all when deinit the alloc 2026-05-15 16:03:40 +02:00
24 changed files with 2098 additions and 767 deletions
+1
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@@ -1,2 +1,3 @@
.zig-cache .zig-cache
zig-out zig-out
examples/mnist
+238
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# Minimal Zig WebGPU Compute & Render Library
This is a minimal, self-contained Zig library designed to simplify running compute shaders and rendering pipelines using WebGPU. It abstracts away much of the boilerplate required for GPU device initialization, memory management, bind groups, and pipeline execution.
## Core Modules
The library exports the following primary components:
* **`GpuDevice`**: Initializes the WebGPU instance, adapter, device, and queue. It is configured to prioritize high performance and automatically requests the `ShaderF16` feature if the adapter supports it. It provides the base `GpuAllocator` for raw VRAM allocations.
* **`GpuArenaAllocator`**: A memory management layer that wraps a base allocator to track and automatically destroy all allocated WebGPU buffers, textures, views, and pipelines when deinitialized.
* **`GpuBuffer`**: Wraps native WebGPU buffers. It provides a `.load()` method for CPU-to-GPU data transfers and a `.read()` method to map GPU data back to the CPU.
* **`GpuCompute`**: Compiles WGSL source code into a compute pipeline and dispatches compute workgroups.
* **`GpuRender` / `GpuTexture` / `GpuTextureView`**: Components used to initialize render pipelines, set up render attachments (textures), and bind render targets for offscreen drawing.
---
## Example 1: Compute Pipeline
Below is a complete example demonstrating how to initialize the GPU via the device allocator, manage VRAM using a GPU Arena, run a compute shader, and read the results back to the CPU:
```zig
const std = @import("std");
const gpu = @import("gpu");
const GpuDevice = gpu.GpuDevice;
const GpuArenaAllocator = gpu.GpuArenaAllocator;
const GpuBuffer = gpu.GpuBuffer;
const GpuCompute = gpu.GpuCompute;
pub fn main(init: std.process.Init) !void {
const allocator = init.gpa;
// 1. Open GPU Device
const device = try GpuDevice.init(.{});
defer device.deinit();
// 2. Create a GPU Arena to manage VRAM
var grena = GpuArenaAllocator.init(allocator, device.gpuAllocator());
defer grena.deinit();
const glloc = grena.gpuAllocator();
// 3. Load the WGSL compute pipeline
const add_cp = try GpuCompute.init(
glloc,
@embedFile("shaders/add.wgsl"),
.{
.label = "add",
.bindings = &.{
.{ .element_size = @sizeOf(f16) },
.{ .element_size = @sizeOf(f16) },
.{ .element_size = @sizeOf(f16) },
},
},
);
// 4. Setup CPU data
const len: usize = 16;
const data_a = try allocator.alloc(f16, len);
defer allocator.free(data_a);
const data_b = try allocator.alloc(f16, len);
defer allocator.free(data_b);
for (0..len) |i| {
data_a[i] = @floatFromInt(i);
data_b[i] = @floatFromInt(len - 1 - i);
}
// 5. Initialize raw GPU Buffers
const byte_size = len * @sizeOf(f16);
const buf_a = try GpuBuffer.init(glloc, .{ .label = "a", .size = byte_size, .usage = .initMany(&.{ .Storage, .CopyDst, .CopySrc }) });
const buf_b = try GpuBuffer.init(glloc, .{ .label = "b", .size = byte_size, .usage = .initMany(&.{ .Storage, .CopyDst, .CopySrc }) });
const buf_out = try GpuBuffer.init(glloc, .{ .label = "out", .size = byte_size, .usage = .initMany(&.{ .Storage, .CopyDst, .CopySrc }) });
// Note: Buffers are safely tied to the GpuArenaAllocator which will automatically
// release them at the end. You can also manually call buf_x.deinit() if desired.
// This will also release pipelines, textures, ect. Everything using a GpuAllocator to init.
// 6. Transfer data from CPU slices to GPU Buffers
try buf_a.load(f16, data_a);
try buf_b.load(f16, data_b);
// 7. Dispatch the Compute
try add_cp.run(glloc, .{ buf_a, buf_b, buf_out });
// 8. Map and copy the resulting buffer back to the CPU
const out = try buf_out.read(allocator, f16);
defer allocator.free(out);
std.debug.print("Result: {any}\n", .{out});
}
```
---
## Example 2: Rendering Pipeline (Offscreen to PPM Image)
This example demonstrates how to initialize a rendering pipeline, allocate an output texture target, draw primitives via WebGPU,
and pull the frame pixels back to the CPU to write a standard image file:
```zig
const std = @import("std");
const gpu = @import("gpu");
const GpuDevice = gpu.GpuDevice;
const GpuArenaAllocator = gpu.GpuArenaAllocator;
const GpuBuffer = gpu.GpuBuffer;
const GpuRender = gpu.GpuRender;
const GpuTexture = gpu.GpuTexture;
const GpuTextureView = gpu.GpuTextureView;
const width: u32 = 512;
const height: u32 = 512;
pub fn main(init: std.process.Init) !void {
const allocator = init.gpa;
// 1. Open GPU Device
const device = try GpuDevice.init(.{});
defer device.deinit();
// 2. Init VRAM Arena
var grena = GpuArenaAllocator.init(allocator, device.gpuAllocator());
defer grena.deinit();
const glloc = grena.gpuAllocator();
// 3. Load Render Pipeline
const circle_rp = try GpuRender.init(
glloc,
@embedFile("shaders/circle.wgsl"),
.{ .bindings = &.{}, .texture_format = .RGBA8Unorm, .topology = .TriangleStrip },
);
defer circle_rp.deinit();
// 4. Create VRAM texture to render into
const texture = try GpuTexture.init(glloc, .{
.format = .RGBA8Unorm,
.size = .{ .width = width, .height = height, .depthOrArrayLayers = 1 },
.usage = .initMany(&.{ .RenderAttachment, .CopySrc }),
});
defer texture.deinit();
// 5. Create a view from texture
const view = try GpuTextureView.init(glloc, texture, .{});
defer view.deinit();
// 6. Run the rendering pipeline
try circle_rp.draw(glloc, view, 4, .{});
// 7. Load Texture into GpuBuffer
const cpu_staging_cpu = try texture.buffCopy(glloc);
defer cpu_staging_cpu.deinit();
// 8. Read GpuBuffer to CPU
// This need to be free manually because CPU memory
const pixels = try cpu_staging_cpu.read(allocator, u8);
defer allocator.free(pixels);
// 9. Write a simple ppm image
try savePpm(init.io, "circle.ppm", width, height, pixels);
}
fn savePpm(io: std.Io, filename: []const u8, w: u32, h: u32, rgba_pixels: []const u8) !void {
const file = try std.Io.Dir.cwd().createFile(io, filename, .{});
defer file.close(io);
var buf: [255]u8 = undefined;
var writer = file.writer(io, &buf);
// PPM Header: P6 format means raw RGB bytes
try writer.interface.print("P6\n{d} {d}\n255\n", .{ w, h });
// Strip Alpha channel when writing out to standard RGB PPM format
var i: usize = 0;
while (i < rgba_pixels.len) : (i += 4) {
try writer.interface.writeAll(rgba_pixels[i .. i + 3]);
}
}
```
---
## Running Examples Locally
If you have cloned the repository, you can run the included examples directly using the Zig build system:
```bash
# Run the rendering example (generates circle.ppm)
zig build circle
# Run the compute example
zig build compute
# Run the compute benchmark
zig build bench_cp
```
---
## Dependencies
* **`wgpu.h`**: The library relies on WebGPU C API headers to bind to the native system graphics.
## System Requirements
Because this library binds to native system graphics APIs via `wgpu-native`, you must ensure the appropriate development headers and libraries are available on your system before compiling.
### Linux (Vulkan)
* **Ubuntu / Debian:** `sudo apt update && sudo apt install libvulkan-dev mesa-vulkan-drivers`
* **Fedora / RHEL:** `sudo dnf install vulkan-devel mesa-vulkan-drivers`
* **Arch Linux:** `sudo pacman -S vulkan-headers vulkan-icd-loader`
### macOS (Metal)
No extra installation required. Automatically links against `Metal`, `QuartzCore`, `Foundation`, and `CoreGraphics`.
### Windows (DirectX 12)
No extra installation required. Automatically links against `d3d12`, `dxgi`, and `user32`. Ensure you have MSVC build tools installed.
---
## Adding to your project
Add it to your `build.zig.zon`:
```bash
zig fetch --save git+https://git.bouvais.lu/adrien/zig-wgpu#ref=0.2.1
```
Then, expose it in your `build.zig`:
```zig
const zig_wgpu = b.dependency("zig-wgpu", .{
.target = target,
.optimize = optimize,
});
exe.root_module.addImport("gpu", zig_wgpu.module("zig-wgpu"));
```
+43 -43
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// build.zig
// zig build run
//
// Expects wgpu-native pre-built in libs/wgpu-native/:
// include/wgpu.h
// lib/libwgpu_native.a (or .so / .dylib / .dll)
//
// Download release: https://github.com/gfx-rs/wgpu-native/releases
// Pick the archive matching your OS/arch, e.g.:
// wgpu-linux-x86_64-release.zip → libwgpu_native.a + wgpu.h
// wgpu-macos-aarch64-release.zip
// wgpu-windows-x86_64-msvc-release.zip
const std = @import("std"); const std = @import("std");
pub fn build(b: *std.Build) void { pub fn build(b: *std.Build) !void {
const target = b.standardTargetOptions(.{}); const target = b.standardTargetOptions(.{});
const optimize = b.standardOptimizeOption(.{}); const optimize = b.standardOptimizeOption(.{});
// 1. Define the module so other projects can import it const mod = b.addModule("zig-wgpu", .{
_ = b.addModule("zig-wgpu", .{
.root_source_file = b.path("src/lib.zig"), .root_source_file = b.path("src/lib.zig"),
.target = target,
}); });
const exe = b.addExecutable(.{ mod.addIncludePath(b.path("libs/wgpu-native/include"));
.root_module = b.createModule(.{ mod.addLibraryPath(b.path("libs/wgpu-native/lib"));
.root_source_file = b.path("src/main.zig"), mod.addObjectFile(b.path("libs/wgpu-native/lib/libwgpu_native.a"));
.link_libc = true,
.target = target,
.optimize = optimize,
}),
.name = "gpu_matrix_add",
});
// wgpu-native headers + pre-built static library
exe.root_module.addIncludePath(b.path("libs/wgpu-native/include"));
exe.root_module.addLibraryPath(b.path("libs/wgpu-native/lib"));
exe.root_module.addObjectFile(b.path("libs/wgpu-native/lib/libwgpu_native.a"));
// Platform-specific system frameworks needed by wgpu-native // Platform-specific system frameworks needed by wgpu-native
const t = target.result; const t = target.result;
if (t.os.tag == .macos) { if (t.os.tag == .macos) {
exe.root_module.linkFramework("Metal", .{}); mod.linkFramework("Metal", .{});
exe.root_module.linkFramework("QuartzCore", .{}); mod.linkFramework("QuartzCore", .{});
exe.root_module.linkFramework("Foundation", .{}); mod.linkFramework("Foundation", .{});
exe.root_module.linkFramework("CoreGraphics", .{}); mod.linkFramework("CoreGraphics", .{});
} else if (t.os.tag == .windows) { } else if (t.os.tag == .windows) {
exe.root_module.linkSystemLibrary("d3d12", .{}); mod.linkSystemLibrary("d3d12", .{});
exe.root_module.linkSystemLibrary("dxgi", .{}); mod.linkSystemLibrary("dxgi", .{});
exe.root_module.linkSystemLibrary("user32", .{}); mod.linkSystemLibrary("user32", .{});
} else { } else {
exe.root_module.linkSystemLibrary("vulkan", .{}); mod.linkSystemLibrary("vulkan", .{});
exe.root_module.linkSystemLibrary("gcc_s", .{}); mod.linkSystemLibrary("gcc_s", .{});
} }
b.installArtifact(exe); if (b.pkg_hash.len == 0) {
var threaded: std.Io.Threaded = .init_single_threaded;
const io = threaded.io();
const run = b.addRunArtifact(exe); var buf: [1024]u8 = undefined;
run.step.dependOn(b.getInstallStep()); const exemples = try std.Io.Dir.cwd().openDir(io, "examples", .{ .access_sub_paths = false, .iterate = true });
b.step("run", "Build and run").dependOn(&run.step); var iter = exemples.iterate();
while (try iter.next(io)) |entry| {
if (entry.kind != .file) continue;
if (!std.mem.eql(u8, entry.name[entry.name.len - 4 ..], ".zig")) continue;
const exe = b.addExecutable(.{
.name = entry.name[0 .. entry.name.len - 4],
.root_module = b.createModule(.{
.root_source_file = b.path(try std.fmt.bufPrint(&buf, "examples/{s}", .{entry.name})),
.target = target,
.optimize = optimize,
.imports = &.{},
}),
});
exe.root_module.addImport("gpu", mod);
b.installArtifact(exe);
const run_step = b.step(entry.name[0 .. entry.name.len - 4], try std.fmt.bufPrint(&buf, "Run {s} demo", .{entry.name}));
const run_cmd = b.addRunArtifact(exe);
run_step.dependOn(&run_cmd.step);
}
}
} }
+4 -72
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.{ .{
// This is the default name used by packages depending on this one. For
// example, when a user runs `zig fetch --save <url>`, this field is used
// as the key in the `dependencies` table. Although the user can choose a
// different name, most users will stick with this provided value.
//
// It is redundant to include "zig" in this name because it is already
// within the Zig package namespace.
.name = .zig_wgpu, .name = .zig_wgpu,
// This is a [Semantic Version](https://semver.org/). .version = "0.2.3",
// In a future version of Zig it will be used for package deduplication. .fingerprint = 0x5d0e853acbc0c2c6,
.version = "0.0.0",
// Together with name, this represents a globally unique package
// identifier. This field is generated by the Zig toolchain when the
// package is first created, and then *never changes*. This allows
// unambiguous detection of one package being an updated version of
// another.
//
// When forking a Zig project, this id should be regenerated (delete the
// field and run `zig build`) if the upstream project is still maintained.
// Otherwise, the fork is *hostile*, attempting to take control over the
// original project's identity. Thus it is recommended to leave the comment
// on the following line intact, so that it shows up in code reviews that
// modify the field.
.fingerprint = 0x5d0e853acbc0c2c6, // Changing this has security and trust implications.
// Tracks the earliest Zig version that the package considers to be a
// supported use case.
.minimum_zig_version = "0.16.0", .minimum_zig_version = "0.16.0",
// This field is optional. .dependencies = .{},
// Each dependency must either provide a `url` and `hash`, or a `path`.
// `zig build --fetch` can be used to fetch all dependencies of a package, recursively.
// Once all dependencies are fetched, `zig build` no longer requires
// internet connectivity.
.dependencies = .{
// See `zig fetch --save <url>` for a command-line interface for adding dependencies.
//.example = .{
// // When updating this field to a new URL, be sure to delete the corresponding
// // `hash`, otherwise you are communicating that you expect to find the old hash at
// // the new URL. If the contents of a URL change this will result in a hash mismatch
// // which will prevent zig from using it.
// .url = "https://example.com/foo.tar.gz",
//
// // This is computed from the file contents of the directory of files that is
// // obtained after fetching `url` and applying the inclusion rules given by
// // `paths`.
// //
// // This field is the source of truth; packages do not come from a `url`; they
// // come from a `hash`. `url` is just one of many possible mirrors for how to
// // obtain a package matching this `hash`.
// //
// // Uses the [multihash](https://multiformats.io/multihash/) format.
// .hash = "...",
//
// // When this is provided, the package is found in a directory relative to the
// // build root. In this case the package's hash is irrelevant and therefore not
// // computed. This field and `url` are mutually exclusive.
// .path = "foo",
//
// // When this is set to `true`, a package is declared to be lazily
// // fetched. This makes the dependency only get fetched if it is
// // actually used.
// .lazy = false,
//},
},
// Specifies the set of files and directories that are included in this package.
// Only files and directories listed here are included in the `hash` that
// is computed for this package. Only files listed here will remain on disk
// when using the zig package manager. As a rule of thumb, one should list
// files required for compilation plus any license(s).
// Paths are relative to the build root. Use the empty string (`""`) to refer to
// the build root itself.
// A directory listed here means that all files within, recursively, are included.
.paths = .{ .paths = .{
"build.zig", "build.zig",
"build.zig.zon", "build.zig.zon",
"src", "src",
// For example... "libs",
//"LICENSE",
//"README.md",
}, },
} }
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const std = @import("std");
const gpu = @import("gpu");
const GpuDevice = gpu.GpuDevice;
const GpuArenaAllocator = gpu.GpuArenaAllocator;
const GpuAllocator = gpu.GpuAllocator;
const GpuBuffer = gpu.GpuBuffer;
const GpuCompute = gpu.GpuCompute;
pub const std_options = std.Options{ .log_level = .info };
/// Minimal implementation of a f16 Vector
const Vec = struct {
buf: GpuBuffer,
len: usize,
// Changed: glloc is passed by value (const)
pub fn initZero(glloc: GpuAllocator, len: usize) !Vec {
return .{
.buf = try GpuBuffer.init(glloc, .{
.size = len * @sizeOf(f16),
.usage = .initMany(&.{ .Storage, .CopyDst, .CopySrc }),
}),
.len = len,
};
}
// Changed: glloc is passed by value
pub fn initLoad(glloc: GpuAllocator, data: []const f16) !Vec {
var self = try initZero(glloc, data.len);
try self.load(data); // Direct access via the interface copy
return self;
}
pub fn deinit(self: Vec) void {
self.buf.deinit();
}
/// CPU to GPU.
pub fn load(self: Vec, data: []const f16) !void {
try self.buf.load(f16, data);
}
// Changed: glloc is passed by value instead of *GpuAllocator
pub fn run(self: Vec, glloc: GpuAllocator, other: Vec, process: GpuCompute) !Vec {
std.debug.assert(self.len == other.len);
const result = try Vec.initZero(glloc, self.len);
errdefer result.deinit();
try process.run(glloc, .{ self.buf, other.buf, result.buf });
return result;
}
// Changed: glloc is passed by value instead of *GpuAllocator
pub fn read(self: Vec, alloc: std.mem.Allocator) ![]f16 {
return self.buf.read(alloc, f16);
}
};
pub fn main(init: std.process.Init) !void {
const device = try GpuDevice.init(.{ .vram_bytes_limit = 4 * 1024 * 1024 * 1024 });
defer device.deinit();
var grena = GpuArenaAllocator.init(init.gpa, device.gpuAllocator());
defer grena.deinit();
const glloc = grena.gpuAllocator();
const add_pip = try GpuCompute.init(glloc, @embedFile("shaders/add.wgsl"), .{ .bindings = &.{
.{ .element_size = @sizeOf(f16) },
.{ .element_size = @sizeOf(f16) },
.{ .element_size = @sizeOf(f16) },
} });
defer add_pip.deinit();
const allocator = init.gpa;
const sizes = [_]usize{
1,
256,
1024,
4 * 1024,
4 * 4 * 1024,
4 * 4 * 4 * 1024,
4 * 4 * 4 * 4 * 1024,
1024 * 1024,
4 * 1024 * 1024,
4 * 4 * 1024 * 1024,
4 * 4 * 4 * 1024 * 1024,
// 4 * 4 * 4 * 4 * 1024 * 1024,
// 4 * 4 * 4 * 4 * 4 * 1024 * 1024,
};
const iterations = 10;
// Updated headers to include VRAM footprint info
std.debug.print("\n| Size (MB) | Phase | Time (ms) | GB/s | VRAM Peak |\n", .{});
std.debug.print("|----------:|:------------------|-----------:|---------:|----------:|\n", .{});
for (sizes) |size| {
// --- Phase 1: Host Init/Alloc (Outside the iteration loop for pure host prep) ---
const data_a = try allocator.alloc(f16, size);
defer allocator.free(data_a);
const data_b = try allocator.alloc(f16, size);
defer allocator.free(data_b);
for (0..size) |i| {
data_a[i] = @floatFromInt(i);
data_b[i] = @floatFromInt(size - 1 - i);
}
// Track best times across iterations
var min_alloc_ns: u64 = std.math.maxInt(u64);
var min_transfer_ns: u64 = std.math.maxInt(u64);
var min_compute_ns: u64 = std.math.maxInt(u64);
// Track peak VRAM usage observed during the iterations
var peak_vram_bytes: u64 = 0;
for (0..iterations) |_| {
// --- 1. GPU ALLOCATION PHASE ---
const alloc_start = std.Io.Clock.awake.now(init.io);
const a = try Vec.initLoad(glloc, data_a);
defer a.deinit();
const b = try Vec.initLoad(glloc, data_b);
defer b.deinit();
const alloc_duration = alloc_start.durationTo(std.Io.Clock.awake.now(init.io));
const alloc_ns = @as(u64, @intCast(alloc_duration.toNanoseconds()));
if (alloc_ns < min_alloc_ns) min_alloc_ns = alloc_ns;
// --- 2. COMPUTE PHASE ---
const compute_start = std.Io.Clock.awake.now(init.io);
const sum = try a.run(glloc, b, add_pip);
defer sum.deinit();
// All 3 buffers (a, b, sum) are currently resident in VRAM here.
// Querying now catches the true peak allocation step.
if (grena.allocated_vram_bytes > peak_vram_bytes)
peak_vram_bytes = grena.allocated_vram_bytes;
device.poll();
const compute_duration = compute_start.durationTo(std.Io.Clock.awake.now(init.io));
const compute_ns = @as(u64, @intCast(compute_duration.toNanoseconds()));
if (compute_ns < min_compute_ns) min_compute_ns = compute_ns;
// --- 3. TRANSFER PHASE (Device -> Host) ---
const transfer_start = std.Io.Clock.awake.now(init.io);
const out = try sum.read(allocator);
defer allocator.free(out);
const transfer_duration = transfer_start.durationTo(std.Io.Clock.awake.now(init.io));
const transfer_ns = @as(u64, @intCast(transfer_duration.toNanoseconds()));
if (transfer_ns < min_transfer_ns) min_transfer_ns = transfer_ns;
}
// --- Metrics Calculations ---
const f_size = @as(f64, @floatFromInt(size));
const element_bytes = f_size * @as(f64, @floatFromInt(@sizeOf(f16)));
const mb = element_bytes / (1024.0 * 1024.0);
// Individual Phase Timings (ms)
const alloc_ms = @as(f64, @floatFromInt(min_alloc_ns)) / 1_000_000.0;
const compute_ms = @as(f64, @floatFromInt(min_compute_ns)) / 1_000_000.0;
const transfer_ms = @as(f64, @floatFromInt(min_transfer_ns)) / 1_000_000.0;
// Bandwidth Calculations
const alloc_gb_s = (element_bytes * 2.0 / 1_000_000_000.0) / (@as(f64, @floatFromInt(min_alloc_ns)) / 1_000_000_000.0);
const compute_gb_s = (element_bytes * 3.0 / 1_000_000_000.0) / (@as(f64, @floatFromInt(min_compute_ns)) / 1_000_000_000.0);
const transfer_gb_s = (element_bytes * 1.0 / 1_000_000_000.0) / (@as(f64, @floatFromInt(min_transfer_ns)) / 1_000_000_000.0);
// Convert Peak VRAM bytes to Megabytes for clean display
const peak_vram_mb = @as(f64, @floatFromInt(peak_vram_bytes)) / (1024.0 * 1024.0);
// Print Results per Size Block with VRAM column aligned
std.debug.print("| {d:9.2} | 1. GPU Alloc/Load | {d:10.3} | {d:8.2} | |\n", .{ mb, alloc_ms, alloc_gb_s });
std.debug.print("| | 2. Compute | {d:10.3} | {d:8.2} | {d:7.2} MB|\n", .{ compute_ms, compute_gb_s, peak_vram_mb });
std.debug.print("| | 3. Transfer (D->H)| {d:10.3} | {d:8.2} | |\n", .{ transfer_ms, transfer_gb_s });
std.debug.print("|-----------|-------------------|------------|---------:|----------:|\n", .{});
}
}
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const std = @import("std");
const gpu = @import("gpu");
const GpuDevice = gpu.GpuDevice;
const GpuArenaAllocator = gpu.GpuArenaAllocator;
const GpuBuffer = gpu.GpuBuffer;
const GpuRender = gpu.GpuRender;
const GpuTexture = gpu.GpuTexture;
const GpuTextureView = gpu.GpuTextureView;
const width: u32 = 512;
const height: u32 = 512;
pub fn main(init: std.process.Init) !void {
const allocator = init.gpa;
// 1. Open GPU Device
const device = try GpuDevice.init(.{});
defer device.deinit();
// 2. Init VRAM Arena
var grena = GpuArenaAllocator.init(allocator, device.gpuAllocator());
defer grena.deinit();
const glloc = grena.gpuAllocator();
// 3. Load Render Pipeline
const circle_rp = try GpuRender.init(
glloc,
@embedFile("shaders/circle.wgsl"),
.{ .bindings = &.{}, .texture_format = .RGBA8Unorm, .topology = .TriangleStrip },
);
defer circle_rp.deinit();
// 4. Create VRAM texture to render into
const texture = try GpuTexture.init(glloc, .{
.format = .RGBA8Unorm,
.size = .{ .width = width, .height = height, .depthOrArrayLayers = 1 },
.usage = .initMany(&.{ .RenderAttachment, .CopySrc }),
});
defer texture.deinit();
// 5. Create a view from texture
const view = try GpuTextureView.init(glloc, texture, .{});
defer view.deinit();
// 6. Run the rendering pipeline
try circle_rp.draw(glloc, view, 4, .{});
// 7. Load Texture into GpuBuffer
const cpu_staging_cpu = try texture.buffCopy(glloc);
defer cpu_staging_cpu.deinit();
// 8. Read GpuBuffer to CPU
// This need to be free manually because CPU memory
const pixels = try cpu_staging_cpu.read(allocator, u8);
defer allocator.free(pixels);
// 9. Write a simple ppm image
try savePpm(init.io, "circle.ppm", width, height, pixels);
}
fn savePpm(io: std.Io, filename: []const u8, w: u32, h: u32, rgba_pixels: []const u8) !void {
const file = try std.Io.Dir.cwd().createFile(io, filename, .{});
defer file.close(io);
var buf: [255]u8 = undefined;
var writer = file.writer(io, &buf);
// PPM Header: P6 format means raw RGB bytes
try writer.interface.print("P6\n{d} {d}\n255\n", .{ w, h });
// Strip Alpha channel when writing out to standard RGB PPM format
var i: usize = 0;
while (i < rgba_pixels.len) : (i += 4) {
try writer.interface.writeAll(rgba_pixels[i .. i + 3]);
}
}
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const std = @import("std");
const gpu = @import("gpu");
const GpuDevice = gpu.GpuDevice;
const GpuArenaAllocator = gpu.GpuArenaAllocator;
const GpuBuffer = gpu.GpuBuffer;
const GpuCompute = gpu.GpuCompute;
pub fn main(init: std.process.Init) !void {
const allocator = init.gpa;
// 1. Open GPU Device
const device = try GpuDevice.init(.{});
defer device.deinit();
// 2. Create a GPU Arena to manage VRAM
var grena = GpuArenaAllocator.init(allocator, device.gpuAllocator());
defer grena.deinit();
const glloc = grena.gpuAllocator();
// 3. Load the WGSL compute pipeline
const add_cp = try GpuCompute.init(
glloc,
@embedFile("shaders/add.wgsl"),
.{
.label = "add",
.bindings = &.{
.{ .element_size = @sizeOf(f16) },
.{ .element_size = @sizeOf(f16) },
.{ .element_size = @sizeOf(f16) },
},
},
);
// 4. Setup CPU data
const len: usize = 16;
const data_a = try allocator.alloc(f16, len);
defer allocator.free(data_a);
const data_b = try allocator.alloc(f16, len);
defer allocator.free(data_b);
for (0..len) |i| {
data_a[i] = @floatFromInt(i);
data_b[i] = @floatFromInt(len - 1 - i);
}
// 5. Initialize raw GPU Buffers
const byte_size = len * @sizeOf(f16);
const buf_a = try GpuBuffer.init(glloc, .{ .label = "a", .size = byte_size, .usage = .initMany(&.{ .Storage, .CopyDst, .CopySrc }) });
const buf_b = try GpuBuffer.init(glloc, .{ .label = "b", .size = byte_size, .usage = .initMany(&.{ .Storage, .CopyDst, .CopySrc }) });
const buf_out = try GpuBuffer.init(glloc, .{ .label = "out", .size = byte_size, .usage = .initMany(&.{ .Storage, .CopyDst, .CopySrc }) });
// Note: Buffers are safely tied to the GpuArenaAllocator which will automatically
// release them at the end. You can also manually call buf_x.deinit() if desired.
// This will also release pipelines, textures, ect. Everything using a GpuAllocator to init.
// 6. Transfer data from CPU slices to GPU Buffers
try buf_a.load(f16, data_a);
try buf_b.load(f16, data_b);
// 7. Dispatch the Compute
try add_cp.run(glloc, .{ buf_a, buf_b, buf_out });
// 8. Map and copy the resulting buffer back to the CPU
const out = try buf_out.read(allocator, f16);
defer allocator.free(out);
std.debug.print("Result: {any}\n", .{out});
}
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enable f16;
@group(0) @binding(0) var<storage, read> A: array<f16>;
@group(0) @binding(1) var<storage, read> B: array<f16>;
@group(0) @binding(2) var<storage, read_write> C: array<f16>;
@group(0) @binding(3) var<uniform> size: u32;
@compute @workgroup_size(256)
fn main(
@builtin(global_invocation_id) global_id : vec3<u32>,
@builtin(num_workgroups) num_workgroups: vec3<u32>
) {
// 1. Calculate the total number of threads across the entire grid
let total_threads = num_workgroups.x * 256u;
// 2. Start at this thread's unique global ID
var index = global_id.x;
// 3. Stride through the tensor elements
while (index < size) {
C[index] = A[index] + B[index];
index += total_threads; // Jump forward by the total thread count
}
}
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struct VertexOutput {
@builtin(position) position: vec4f,
@location(0) uv: vec2f,
};
@vertex
fn vs_main(@builtin(vertex_index) vertex_index: u32) -> VertexOutput {
var output: VertexOutput;
// Hardcoded fullscreen quad layout using 4 vertices (Triangle Strip)
// Indexes: 0: Top-Left, 1: Bottom-Left, 2: Top-Right, 3: Bottom-Right
var pos = array<vec2f, 4>(
vec2f(-1.0, 1.0),
vec2f(-1.0, -1.0),
vec2f( 1.0, 1.0),
vec2f( 1.0, -1.0)
);
output.position = vec4f(pos[vertex_index], 0.0, 1.0);
output.uv = pos[vertex_index]; // Ranges cleanly from -1.0 to 1.0
return output;
}
@fragment
fn fs_main(input: VertexOutput) -> @location(0) vec4f {
// Distance from the center (0,0)
let distance = length(input.uv);
let radius = 0.5;
// Smooth out pixel edges (anti-aliasing)
let edge_softness = 0.005;
let alpha = 1.0 - smoothstep(radius - edge_softness, radius + edge_softness, distance);
if (alpha <= 0.0) {
discard;
}
// Draw a sharp/smooth red circle
return vec4f(1.0, 0.3, 0.3, alpha);
}
+49 -130
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@@ -1,140 +1,59 @@
const std = @import("std"); const GpuDevice = @import("GpuDevice.zig");
const sh = @import("shaders.zig"); const c = @import("utils.zig").c;
const c = @import("c.zig").c;
const GpuAllocator = @This(); pub const VTable = struct {
allocBuffer: *const fn (ctx: *anyopaque, desc: c.WGPUBufferDescriptor) anyerror!c.WGPUBuffer,
instance: c.WGPUInstance, freeBuffer: *const fn (ctx: *anyopaque, buf_raw: c.WGPUBuffer) void,
adapter: c.WGPUAdapter, allocTexture: *const fn (ctx: *anyopaque, desc: c.WGPUTextureDescriptor) anyerror!c.WGPUTexture,
device: c.WGPUDevice, freeTexture: *const fn (ctx: *anyopaque, buf_raw: c.WGPUTexture) void,
queue: c.WGPUQueue, allocTextureView: *const fn (ctx: *anyopaque, texture: c.WGPUTexture, desc: c.WGPUTextureViewDescriptor) anyerror!c.WGPUTextureView,
freeTextureView: *const fn (ctx: *anyopaque, buf_raw: c.WGPUTextureView) void,
// Lazily created, cached for lifetime of allocator allocRenderPipeline: *const fn (ctx: *anyopaque, desc: c.WGPURenderPipelineDescriptor) anyerror!c.WGPURenderPipeline,
_pip_add: c.WGPUComputePipeline = null, freeRenderPipeline: *const fn (ctx: *anyopaque, buf_raw: c.WGPURenderPipeline) void,
_pip_scale: c.WGPUComputePipeline = null, allocComputePipeline: *const fn (ctx: *anyopaque, desc: c.WGPUComputePipelineDescriptor) anyerror!c.WGPUComputePipeline,
freeComputePipeline: *const fn (ctx: *anyopaque, buf_raw: c.WGPUComputePipeline) void,
pub fn init() !GpuAllocator {
const instance = c.wgpuCreateInstance(
&std.mem.zeroes(c.WGPUInstanceDescriptor),
) orelse return error.NoInstance;
errdefer c.wgpuInstanceRelease(instance);
var ctx = Ctx{};
_ = c.wgpuInstanceRequestAdapter(
instance,
&.{ .powerPreference = c.WGPUPowerPreference_HighPerformance },
.{ .callback = onAdapter, .userdata1 = &ctx },
);
c.wgpuInstanceProcessEvents(instance);
const adapter = ctx.adapter orelse return error.NoAdapter;
errdefer c.wgpuAdapterRelease(adapter);
_ = c.wgpuAdapterRequestDevice(
adapter,
null,
.{ .callback = onDevice, .userdata1 = &ctx },
);
c.wgpuInstanceProcessEvents(instance);
const device = ctx.device orelse return error.NoDevice;
return .{
.instance = instance,
.adapter = adapter,
.device = device,
.queue = c.wgpuDeviceGetQueue(device),
};
}
pub fn deinit(self: *GpuAllocator) void {
if (self._pip_add) |p| c.wgpuComputePipelineRelease(p);
if (self._pip_scale) |p| c.wgpuComputePipelineRelease(p);
c.wgpuQueueRelease(self.queue);
c.wgpuDeviceRelease(self.device);
c.wgpuAdapterRelease(self.adapter);
c.wgpuInstanceRelease(self.instance);
}
// ── Internal ─────────────────────────────────────────────────────────────
pub fn makeBuffer(
self: *GpuAllocator,
bytes: u64,
usage: c.WGPUBufferUsage,
) !c.WGPUBuffer {
return c.wgpuDeviceCreateBuffer(self.device, &.{
.usage = usage,
.size = bytes,
}) orelse error.BufferAlloc;
}
pub fn pipAdd(self: *GpuAllocator) !c.WGPUComputePipeline {
if (self._pip_add == null)
self._pip_add = try buildPipeline(self.device, sh.SHADER_ADD);
return self._pip_add.?;
}
pub fn pipScale(self: *GpuAllocator) !c.WGPUComputePipeline {
if (self._pip_scale == null)
self._pip_scale = try buildPipeline(self.device, sh.SHADER_SCALE);
return self._pip_scale.?;
}
/// Poll until GPU work completes. Use after submit if you need CPU sync.
pub fn poll(self: *GpuAllocator) void {
_ = c.wgpuDevicePoll(self.device, 1, null);
}
const Ctx = struct {
adapter: c.WGPUAdapter = null,
device: c.WGPUDevice = null,
}; };
fn onAdapter( device: GpuDevice,
status: c.WGPURequestAdapterStatus, ptr: *anyopaque,
adapter: c.WGPUAdapter, vtable: *const VTable,
_: c.WGPUStringView,
userdata1: ?*anyopaque, pub fn allocBuffer(self: @This(), desc: c.WGPUBufferDescriptor) !c.WGPUBuffer {
_: ?*anyopaque, return self.vtable.allocBuffer(self.ptr, desc);
) callconv(.c) void {
if (status != c.WGPURequestAdapterStatus_Success) {
std.log.err("Adapter request failed (status={d})", .{status});
return;
}
const ctx: *Ctx = @ptrCast(@alignCast(userdata1.?));
ctx.adapter = adapter;
} }
fn onDevice( pub fn freeBuffer(self: @This(), raw: c.WGPUBuffer) void {
status: c.WGPURequestDeviceStatus, self.vtable.freeBuffer(self.ptr, raw);
device: c.WGPUDevice,
_: c.WGPUStringView,
userdata1: ?*anyopaque,
_: ?*anyopaque,
) callconv(.c) void {
if (status != c.WGPURequestDeviceStatus_Success) {
std.log.err("Device request failed (status={d})", .{status});
return;
}
const ctx: *Ctx = @ptrCast(@alignCast(userdata1.?));
ctx.device = device;
std.debug.print("{?}", .{device});
} }
fn buildPipeline(device: c.WGPUDevice, wgsl: []const u8) !c.WGPUComputePipeline { pub fn allocTexture(self: @This(), desc: c.WGPUTextureDescriptor) !c.WGPUTexture {
var wgsl_src = c.WGPUShaderSourceWGSL{ return self.vtable.allocTexture(self.ptr, desc);
.chain = .{ .sType = c.WGPUSType_ShaderSourceWGSL },
.code = sv(wgsl),
};
const shader = c.wgpuDeviceCreateShaderModule(device, &.{
.nextInChain = @ptrCast(&wgsl_src),
}) orelse return error.Shader;
defer c.wgpuShaderModuleRelease(shader);
return c.wgpuDeviceCreateComputePipeline(device, &.{
.compute = .{ .module = shader, .entryPoint = sv("main") },
}) orelse error.Pipeline;
} }
fn sv(s: []const u8) c.WGPUStringView { pub fn freeTexture(self: @This(), raw: c.WGPUTexture) void {
return .{ .data = s.ptr, .length = s.len }; self.vtable.freeTexture(self.ptr, raw);
}
pub fn allocTextureView(self: @This(), texture: c.WGPUTexture, desc: c.WGPUTextureViewDescriptor) !c.WGPUTextureView {
return self.vtable.allocTextureView(self.ptr, texture, desc);
}
pub fn freeTextureView(self: @This(), raw: c.WGPUTextureView) void {
self.vtable.freeTextureView(self.ptr, raw);
}
pub fn allocRenderPipeline(self: @This(), desc: c.WGPURenderPipelineDescriptor) !c.WGPURenderPipeline {
return self.vtable.allocRenderPipeline(self.ptr, desc);
}
pub fn freeRenderPipeline(self: @This(), raw: c.WGPURenderPipeline) void {
self.vtable.freeRenderPipeline(self.ptr, raw);
}
pub fn allocComputePipeline(self: @This(), desc: c.WGPUComputePipelineDescriptor) !c.WGPUComputePipeline {
return self.vtable.allocComputePipeline(self.ptr, desc);
}
pub fn freeComputePipeline(self: @This(), raw: c.WGPUComputePipeline) void {
self.vtable.freeComputePipeline(self.ptr, raw);
} }
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const std = @import("std");
const GpuDevice = @import("GpuDevice.zig");
const GpuAllocator = @import("GpuAllocator.zig");
const GpuTextureFormat = @import("lib.zig").GpuTextureFormat;
const c = @import("utils.zig").c;
const viewStr = @import("utils.zig").viewStr;
child_allocator: GpuAllocator, // I use Zig naming child_allocator, but that should be a parent for me. Likely something idk
tracked_buffers: std.AutoHashMap(c.WGPUBuffer, c.WGPUBufferDescriptor),
tracked_textures: std.AutoHashMap(c.WGPUTexture, c.WGPUTextureDescriptor),
tracked_views: std.AutoHashMap(c.WGPUTextureView, c.WGPUTextureViewDescriptor),
tracked_renders: std.AutoHashMap(c.WGPURenderPipeline, c.WGPURenderPipelineDescriptor),
tracked_computes: std.AutoHashMap(c.WGPUComputePipeline, c.WGPUComputePipelineDescriptor),
allocated_vram_bytes: u64 = 0,
pub fn init(cpu_allocator: std.mem.Allocator, child_allocator: GpuAllocator) @This() {
return .{
.child_allocator = child_allocator,
.tracked_buffers = .init(cpu_allocator),
.tracked_textures = .init(cpu_allocator),
.tracked_views = .init(cpu_allocator),
.tracked_computes = .init(cpu_allocator),
.tracked_renders = .init(cpu_allocator),
};
}
pub fn deinit(self: *@This()) void {
std.log.debug("Freeing GpuArenaAllocator (Used VRAM: {}/{} MB)", .{
self.allocated_vram_bytes / 1024 / 1024,
self.child_allocator.device.def.vram_bytes_limit / 1024 / 1024,
});
var it_buffer = self.tracked_buffers.keyIterator();
while (it_buffer.next()) |buf_ptr|
freeBuffer(self, buf_ptr.*);
self.tracked_buffers.deinit();
var it_tex = self.tracked_textures.keyIterator();
while (it_tex.next()) |buf_ptr|
freeTexture(self, buf_ptr.*);
self.tracked_textures.deinit();
var it_view = self.tracked_views.keyIterator();
while (it_view.next()) |buf_ptr|
freeTextureView(self, buf_ptr.*);
self.tracked_views.deinit();
var it_render = self.tracked_renders.keyIterator();
while (it_render.next()) |buf_ptr|
freeRenderPipeline(self, buf_ptr.*);
self.tracked_renders.deinit();
var it_compute = self.tracked_computes.keyIterator();
while (it_compute.next()) |buf_ptr|
freeComputePipeline(self, buf_ptr.*);
self.tracked_computes.deinit();
std.log.debug("Freed GpuArenaAllocator (Used VRAM: {}/{} MB)", .{
self.allocated_vram_bytes / 1024 / 1024,
self.child_allocator.device.def.vram_bytes_limit / 1024 / 1024,
});
}
/// Returns the type-erased immutable interface wrapper
pub fn gpuAllocator(self: *@This()) GpuAllocator {
return .{
.device = self.child_allocator.device,
.ptr = self,
.vtable = &.{
.allocBuffer = allocBuffer,
.freeBuffer = freeBuffer,
.allocTexture = allocTexture,
.freeTexture = freeTexture,
.allocTextureView = allocTextureView,
.freeTextureView = freeTextureView,
.allocRenderPipeline = allocRenderPipeline,
.freeRenderPipeline = freeRenderPipeline,
.allocComputePipeline = allocComputePipeline,
.freeComputePipeline = freeComputePipeline,
},
};
}
// NOTE: I use ensureTotalCapacity so I know that try self.tracked_x.put will not fail!
// Like that I dont have to use errdefer to release what I just allocated in VRAM
fn allocBuffer(ctx: *anyopaque, desc: c.WGPUBufferDescriptor) anyerror!c.WGPUBuffer {
const self: *@This() = @ptrCast(@alignCast(ctx));
try self.tracked_buffers.ensureTotalCapacity(self.tracked_buffers.count() + 1);
const raw = try self.child_allocator.allocBuffer(desc);
self.tracked_buffers.putAssumeCapacity(raw, desc);
self.allocated_vram_bytes += desc.size;
std.log.debug("Allocated Buffer '{s}': {d} B (Total VRAM: {}/{} MB)", .{
viewStr(desc.label),
desc.size,
self.allocated_vram_bytes / 1024 / 1024,
self.child_allocator.device.def.vram_bytes_limit / 1024 / 1024,
});
return raw;
}
fn freeBuffer(ctx: *anyopaque, raw: c.WGPUBuffer) void {
const self: *@This() = @ptrCast(@alignCast(ctx));
if (self.tracked_buffers.fetchRemove(raw)) |kv| {
self.child_allocator.freeBuffer(raw);
self.allocated_vram_bytes -= kv.value.size;
std.log.debug("Freed Buffer '{s}' (Total VRAM: {}/{} MB)", .{
viewStr(kv.value.label),
self.allocated_vram_bytes / 1024 / 1024,
self.child_allocator.device.def.vram_bytes_limit / 1024 / 1024,
});
}
}
fn allocTexture(ctx: *anyopaque, desc: c.WGPUTextureDescriptor) anyerror!c.WGPUTexture {
const self: *@This() = @ptrCast(@alignCast(ctx));
try self.tracked_textures.ensureTotalCapacity(self.tracked_textures.count() + 1);
const format: GpuTextureFormat = @enumFromInt(desc.format);
const bytes_size = desc.size.width * desc.size.height * format.bytesPerPixel();
if (bytes_size + self.allocated_vram_bytes > self.child_allocator.device.def.vram_bytes_limit)
return error.ExceedsVramBudget;
const raw = try self.child_allocator.allocTexture(desc);
self.tracked_textures.putAssumeCapacity(raw, desc);
self.allocated_vram_bytes += bytes_size;
std.log.debug("Allocated Texture '{s}': {d} B (Total VRAM: {}/{} MB)", .{
viewStr(desc.label),
bytes_size,
self.allocated_vram_bytes / 1024 / 1024,
self.child_allocator.device.def.vram_bytes_limit / 1024 / 1024,
});
return raw;
}
fn freeTexture(ctx: *anyopaque, raw: c.WGPUTexture) void {
const self: *@This() = @ptrCast(@alignCast(ctx));
if (self.tracked_textures.fetchRemove(raw)) |kv| {
self.child_allocator.freeTexture(raw);
const desc = kv.value;
const format: GpuTextureFormat = @enumFromInt(desc.format);
const bytes_size = desc.size.width * desc.size.height * format.bytesPerPixel();
self.allocated_vram_bytes -= bytes_size;
std.log.debug("Freed Texture '{s}' (Total VRAM: {}/{} MB)", .{
viewStr(desc.label),
self.allocated_vram_bytes / 1024 / 1024,
self.child_allocator.device.def.vram_bytes_limit / 1024 / 1024,
});
}
}
fn allocTextureView(ctx: *anyopaque, texture: c.WGPUTexture, desc: c.WGPUTextureViewDescriptor) anyerror!c.WGPUTextureView {
const self: *@This() = @ptrCast(@alignCast(ctx));
try self.tracked_views.ensureTotalCapacity(self.tracked_views.count() + 1);
const raw = try self.child_allocator.allocTextureView(texture, desc);
self.tracked_views.putAssumeCapacity(raw, desc);
std.log.debug("Allocated Texture View '{s}'", .{viewStr(desc.label)});
return raw;
}
fn freeTextureView(ctx: *anyopaque, raw: c.WGPUTextureView) void {
const self: *@This() = @ptrCast(@alignCast(ctx));
if (self.tracked_views.fetchRemove(raw)) |kv| {
self.child_allocator.freeTextureView(raw);
const desc = kv.value;
std.log.debug("Freed Texture View '{s}'", .{viewStr(desc.label)});
}
}
fn allocRenderPipeline(ctx: *anyopaque, desc: c.WGPURenderPipelineDescriptor) anyerror!c.WGPURenderPipeline {
const self: *@This() = @ptrCast(@alignCast(ctx));
try self.tracked_renders.ensureTotalCapacity(self.tracked_renders.count() + 1);
const raw = try self.child_allocator.allocRenderPipeline(desc);
self.tracked_renders.putAssumeCapacity(raw, desc);
std.log.debug("Allocated Render Pipeline '{s}'", .{viewStr(desc.label)});
return raw;
}
fn freeRenderPipeline(ctx: *anyopaque, raw: c.WGPURenderPipeline) void {
const self: *@This() = @ptrCast(@alignCast(ctx));
if (self.tracked_renders.fetchRemove(raw)) |kv| {
self.child_allocator.freeRenderPipeline(raw);
const desc = kv.value;
std.log.debug("Freed Render Pipeline '{s}'", .{viewStr(desc.label)});
}
}
fn allocComputePipeline(ctx: *anyopaque, desc: c.WGPUComputePipelineDescriptor) anyerror!c.WGPUComputePipeline {
const self: *@This() = @ptrCast(@alignCast(ctx));
try self.tracked_computes.ensureTotalCapacity(self.tracked_computes.count() + 1);
const raw = try self.child_allocator.allocComputePipeline(desc);
self.tracked_computes.putAssumeCapacity(raw, desc);
std.log.debug("Allocated Compute Pipeline '{s}'", .{viewStr(desc.label)});
return raw;
}
fn freeComputePipeline(ctx: *anyopaque, raw: c.WGPUComputePipeline) void {
const self: *@This() = @ptrCast(@alignCast(ctx));
if (self.tracked_computes.fetchRemove(raw)) |kv| {
self.child_allocator.freeComputePipeline(raw);
const desc = kv.value;
std.log.debug("Freed Compute Pipeline '{s}'", .{viewStr(desc.label)});
}
}
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const std = @import("std");
const c = @import("utils.zig").c;
const GpuAllocator = @import("GpuAllocator.zig");
const svOpt = @import("utils.zig").svOpt;
raw: c.WGPUBuffer,
size: u64,
usage: c.WGPUBufferUsage,
glloc: GpuAllocator,
const BufferUsage = enum(u64) {
None = 0x0000000000000000,
MapRead = 0x0000000000000001,
MapWrite = 0x0000000000000002,
CopySrc = 0x0000000000000004,
CopyDst = 0x0000000000000008,
Index = 0x0000000000000010,
Vertex = 0x0000000000000020,
Uniform = 0x0000000000000040,
Storage = 0x0000000000000080,
Indirect = 0x0000000000000100,
QueryResolve = 0x0000000000000200,
};
const GpuBufferDef = struct {
label: ?[]const u8 = null,
size: u64,
usage: std.EnumSet(BufferUsage),
};
pub fn init(glloc: GpuAllocator, def: GpuBufferDef) !@This() {
var use: u64 = 0;
var iter = def.usage.iterator();
while (iter.next()) |flag| use |= @intFromEnum(flag);
// Automatically align the buffer size forward to a multiple of 4 bytes under the hood
const aligned_size = std.mem.alignForward(u64, def.size, 4);
const raw_handle = try glloc.allocBuffer(.{
.size = aligned_size,
.usage = use,
.label = svOpt(def.label),
});
return .{
.raw = raw_handle,
.size = aligned_size,
.usage = use,
.glloc = glloc,
};
}
pub fn deinit(self: @This()) void {
self.glloc.freeBuffer(self.raw);
}
pub fn getConstMappedRange(self: @This(), offset: u64, size: u64) ?*const anyopaque {
return c.wgpuBufferGetConstMappedRange(self.raw, offset, size);
}
pub fn mapAsync(
self: @This(),
mode: c.WGPUMapMode,
offset: u64,
size: u64,
callback_info: c.WGPUBufferMapCallbackInfo,
) void {
_ = c.wgpuBufferMapAsync(self.raw, mode, offset, size, callback_info);
}
pub fn unmap(self: @This()) void {
c.wgpuBufferUnmap(self.raw);
}
/// CPU to GPU
pub fn load(
self: @This(),
T: type,
data: []const T,
) !void {
const bytes = data.len * @sizeOf(T);
if (bytes == self.size) {
// Aligned path: direct download
c.wgpuQueueWriteBuffer(self.glloc.device.queue, self.raw, 0, data.ptr, self.size);
} else {
// Unaligned path: Split the write into an aligned chunk and a padded remainder
// to support arbitrary lengths without any allocations or large stack arrays.
const aligned_part = (bytes / 4) * 4;
if (aligned_part > 0) {
c.wgpuQueueWriteBuffer(self.glloc.device.queue, self.raw, 0, data.ptr, aligned_part);
}
var remainder_buf: [4]u8 = .{ 0, 0, 0, 0 };
const data_bytes = std.mem.sliceAsBytes(data);
@memcpy(remainder_buf[0 .. bytes - aligned_part], data_bytes[aligned_part..bytes]);
c.wgpuQueueWriteBuffer(self.glloc.device.queue, self.raw, aligned_part, &remainder_buf, 4);
}
}
/// GPU to CPU
pub fn read(self: @This(), alloc: std.mem.Allocator, T: type) ![]T {
const out = try alloc.alloc(T, @divExact(self.size, @sizeOf(T)));
const staging = try init(self.glloc, .{
.size = self.size,
.usage = .initMany(&.{ .MapRead, .CopyDst }),
.label = "staging_read_buffer",
});
defer staging.deinit();
const enc = c.wgpuDeviceCreateCommandEncoder(self.glloc.device.device, null) orelse return error.Encoder;
c.wgpuCommandEncoderCopyBufferToBuffer(enc, self.raw, 0, staging.raw, 0, self.size);
const cmd = c.wgpuCommandEncoderFinish(enc, null);
defer c.wgpuCommandEncoderRelease(enc);
defer c.wgpuCommandBufferRelease(cmd);
c.wgpuQueueSubmit(self.glloc.device.queue, 1, &cmd);
var mapped = false;
staging.mapAsync(
c.WGPUMapMode_Read,
0,
self.size,
.{ .callback = onMapped, .userdata1 = &mapped },
);
while (!mapped) self.glloc.device.poll();
const ptr: [*]const T = @ptrCast(@alignCast(
staging.getConstMappedRange(0, self.size),
));
@memcpy(out[0..out.len], ptr[0..out.len]);
staging.unmap();
return out;
}
fn onMapped(
status: c.WGPUMapAsyncStatus,
_: c.WGPUStringView,
userdata1: ?*anyopaque,
_: ?*anyopaque,
) callconv(.c) void {
const flag: *bool = @ptrCast(@alignCast(userdata1.?));
flag.* = (status == c.WGPUMapAsyncStatus_Success);
}
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const c = @import("utils.zig").c;
const sv = @import("utils.zig").sv;
const svOpt = @import("utils.zig").svOpt;
const GpuAllocator = @import("GpuAllocator.zig");
const GpuBuffer = @import("GpuBuffer.zig");
const GpuDevice = @import("GpuDevice.zig");
pub const Binding = struct {
/// Element size in bytes for this binding. E.g. @sizeOf(f32).
/// If 0, no element-based size validation is performed for this buffer.
element_size: u32 = 0,
};
pub const ComputeDef = struct {
label: ?[]const u8 = null,
bindings: []const Binding,
workgroup_size: u32 = 256,
max_workgroups: u32 = 65535,
/// If true, automatically adds a Uniform Buffer containing `elements_count` as a `u32`
/// to the next available binding slot.
append_info_buffer: bool = true,
};
pip: c.WGPUComputePipeline,
glloc: GpuAllocator,
def: ComputeDef,
pub fn init(glloc: GpuAllocator, wgsl: []const u8, def: ComputeDef) !@This() {
var wgsl_src = c.WGPUShaderSourceWGSL{
.chain = .{ .sType = c.WGPUSType_ShaderSourceWGSL },
.code = sv(wgsl),
};
const shader = c.wgpuDeviceCreateShaderModule(glloc.device.device, &.{
.nextInChain = @ptrCast(&wgsl_src),
}) orelse return error.Shader;
defer c.wgpuShaderModuleRelease(shader);
const pip = try glloc.allocComputePipeline(.{
.label = svOpt(def.label),
.compute = .{ .module = shader, .entryPoint = sv("main") },
});
return .{
.glloc = glloc,
.pip = pip,
.def = def,
};
}
pub fn deinit(self: @This()) void {
self.glloc.freeComputePipeline(self.pip);
}
/// Execute the compute pass with arbitrary buffer bindings via a tuple.
/// Example: `try proc.run(glloc, .{ buf_a, buf_b, buf_out });`
pub fn run(
self: @This(),
glloc: GpuAllocator,
args: anytype,
) !void {
const type_info = @typeInfo(@TypeOf(args));
if (type_info != .@"struct" or !type_info.@"struct".is_tuple)
@compileError("Expected a tuple of GpuBuffers for args. E.g. .{ buf_a, buf_b }");
const fields = type_info.@"struct".fields;
if (fields.len != self.def.bindings.len)
return error.InvalidArgumentCount;
var elements_count: u32 = 0;
// Infer elements_count from the first arg with a defined element_size
inline for (fields, 0..) |field, i| {
if (elements_count == 0) {
const buf = @field(args, field.name);
const el_size = self.def.bindings[i].element_size;
if (el_size > 0) {
elements_count = @intCast(buf.size / el_size);
}
}
}
// Validate runtime buffer sizes before dispatching
inline for (fields, 0..) |field, i| {
const buf = @field(args, field.name);
const el_size = self.def.bindings[i].element_size;
if (el_size > 0) {
const expected_min_bytes = @as(u64, elements_count) * el_size;
if (buf.size < expected_min_bytes)
return error.BufferTooSmall;
}
}
var entries_buf: [32]c.WGPUBindGroupEntry = undefined;
var entry_count: usize = 0;
// Unpack tuple into WebGPU BindGroupEntries
inline for (fields, 0..) |field, i| {
const buf = @field(args, field.name);
if (@TypeOf(buf) != GpuBuffer) {
@compileError("All arguments in the tuple must be of type GpuBuffer");
}
entries_buf[entry_count] = .{
.binding = @intCast(i),
.buffer = buf.raw,
.offset = 0,
.size = buf.size, // Size exposes the fully allocated length
};
entry_count += 1;
}
// Optional uniform dispatch buffer appended at the end
var info_buf: ?GpuBuffer = null;
defer if (info_buf) |b| b.deinit();
if (self.def.append_info_buffer) {
info_buf = try GpuBuffer.init(glloc, .{
.size = @sizeOf(u32),
.usage = .initMany(&.{ .Uniform, .CopyDst }),
.label = "compute_info_buffer",
});
c.wgpuQueueWriteBuffer(glloc.device.queue, info_buf.?.raw, 0, &elements_count, @sizeOf(u32));
entries_buf[entry_count] = .{
.binding = @intCast(entry_count),
.buffer = info_buf.?.raw,
.offset = 0,
.size = @sizeOf(u32),
};
entry_count += 1;
}
const entries = entries_buf[0..entry_count];
try submitPass(glloc, self.pip, entries, elements_count, self.def.workgroup_size, self.def.max_workgroups);
}
fn submitPass(
glloc: GpuAllocator,
pipeline: c.WGPUComputePipeline,
entries: []const c.WGPUBindGroupEntry,
n: usize,
workgroup_size: u32,
max_workgroups: u32,
) !void {
if (n == 0) return;
const bgl = c.wgpuComputePipelineGetBindGroupLayout(pipeline, 0);
defer c.wgpuBindGroupLayoutRelease(bgl);
const bg = c.wgpuDeviceCreateBindGroup(glloc.device.device, &.{
.layout = bgl,
.entries = entries.ptr,
.entryCount = entries.len,
}) orelse return error.BindGroup;
defer c.wgpuBindGroupRelease(bg);
const enc = c.wgpuDeviceCreateCommandEncoder(glloc.device.device, null) orelse return error.Encoder;
const pass = c.wgpuCommandEncoderBeginComputePass(enc, null);
c.wgpuComputePassEncoderSetPipeline(pass, pipeline);
c.wgpuComputePassEncoderSetBindGroup(pass, 0, bg, 0, null);
const desired_workgroups = ceilDiv(n, workgroup_size);
const dispatch_count = @min(desired_workgroups, max_workgroups);
c.wgpuComputePassEncoderDispatchWorkgroups(pass, @intCast(dispatch_count), 1, 1);
c.wgpuComputePassEncoderEnd(pass);
c.wgpuComputePassEncoderRelease(pass);
const cmd = c.wgpuCommandEncoderFinish(enc, null);
defer c.wgpuCommandEncoderRelease(enc);
defer c.wgpuCommandBufferRelease(cmd);
c.wgpuQueueSubmit(glloc.device.queue, 1, &cmd);
}
fn ceilDiv(n: usize, d: usize) usize {
return (n + d - 1) / d;
}
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const std = @import("std");
const c = @import("utils.zig").c;
const sv = @import("utils.zig").sv;
const svOpt = @import("utils.zig").svOpt;
const GpuAllocator = @import("GpuAllocator.zig");
const GpuTextureFormat = @import("lib.zig").GpuTextureFormat;
const Ctx = struct {
adapter: c.WGPUAdapter = null,
device: c.WGPUDevice = null,
};
const GpuDeviceDef = struct {
label: ?[]const u8 = null,
/// VRAM limit. Default 2 GB
vram_bytes_limit: u64 = 2 * 1024 * 1024 * 1024,
power_preference: enum(c_uint) {
Undefined = 0x00000000,
LowPower = 0x00000001,
HighPerformance = 0x00000002,
Force32 = 0x7FFFFFFF,
} = .HighPerformance,
};
instance: c.WGPUInstance,
adapter: c.WGPUAdapter,
device: c.WGPUDevice,
queue: c.WGPUQueue,
limits: c.WGPULimits,
def: GpuDeviceDef,
pub fn init(def: GpuDeviceDef) !@This() {
const instance = c.wgpuCreateInstance(
&std.mem.zeroes(c.WGPUInstanceDescriptor),
) orelse return error.NoInstance;
errdefer c.wgpuInstanceRelease(instance);
var ctx = Ctx{};
_ = c.wgpuInstanceRequestAdapter(
instance,
&.{ .powerPreference = @intFromEnum(def.power_preference) },
.{ .callback = onAdapter, .userdata1 = &ctx },
);
c.wgpuInstanceProcessEvents(instance);
const adapter = ctx.adapter orelse return error.NoAdapter;
errdefer c.wgpuAdapterRelease(adapter);
var adapter_info = std.mem.zeroes(c.WGPUAdapterInfo);
_ = c.wgpuAdapterGetInfo(adapter, &adapter_info);
std.log.info("=== WebGPU Device Initialized ===", .{});
if (adapter_info.device.length > 0 and adapter_info.device.data != null) {
std.log.info(" Device Name : {s}", .{adapter_info.device.data[0..adapter_info.device.length]});
}
if (adapter_info.architecture.length > 0 and adapter_info.architecture.data != null) {
std.log.info(" Architecture : {s}", .{adapter_info.architecture.data[0..adapter_info.architecture.length]});
}
std.log.info(" Backend Type : {d}", .{adapter_info.backendType});
var supported_features = std.mem.zeroes(c.WGPUSupportedFeatures);
c.wgpuAdapterGetFeatures(adapter, &supported_features);
var supported_limits = std.mem.zeroes(c.WGPULimits);
supported_limits.nextInChain = null;
if (c.wgpuAdapterGetLimits(adapter, &supported_limits) != 1) return error.FailedToGetAdapterLimits;
std.log.info(" Max Buf Size : {d} MB", .{supported_limits.maxBufferSize / 1024 / 1024});
std.log.info(" Max Storage : {d} MB", .{supported_limits.maxStorageBufferBindingSize / 1024 / 1024});
std.log.info(" Max Workgroup: X: {d}, Y: {d}, Z: {d}", .{ supported_limits.maxComputeWorkgroupSizeX, supported_limits.maxComputeWorkgroupSizeY, supported_limits.maxComputeWorkgroupSizeZ });
std.log.info(" VRAM Budget : {d} MB", .{def.vram_bytes_limit / 1024 / 1024});
var has_f16 = false;
for (0..supported_features.featureCount) |i| {
if (supported_features.features[i] == c.WGPUFeatureName_ShaderF16) {
has_f16 = true;
break;
}
}
std.log.info(" Shader F16 : {}", .{has_f16});
std.log.info("=================================", .{});
var feature_buf = [_]c.WGPUFeatureName{c.WGPUFeatureName_ShaderF16};
const required_features: []const c.WGPUFeatureName =
if (has_f16) feature_buf[0..1] else &.{};
const device_descriptor = c.WGPUDeviceDescriptor{
.nextInChain = null,
.label = svOpt(def.label),
.requiredFeatureCount = required_features.len,
.requiredFeatures = if (required_features.len > 0) required_features.ptr else null,
.requiredLimits = &supported_limits,
};
_ = c.wgpuAdapterRequestDevice(
adapter,
&device_descriptor,
.{ .callback = onDevice, .userdata1 = &ctx },
);
c.wgpuInstanceProcessEvents(instance);
const device = ctx.device orelse return error.NoDevice;
return .{
.instance = instance,
.adapter = adapter,
.device = device,
.queue = c.wgpuDeviceGetQueue(device),
.limits = supported_limits,
.def = def,
};
}
pub fn deinit(self: @This()) void {
c.wgpuQueueRelease(self.queue);
c.wgpuDeviceRelease(self.device);
c.wgpuAdapterRelease(self.adapter);
c.wgpuInstanceRelease(self.instance);
}
/// Wait for thing to be done
pub fn poll(self: @This()) void {
_ = c.wgpuDevicePoll(self.device, 1, null);
}
fn onAdapter(
status: c.WGPURequestAdapterStatus,
adapter: c.WGPUAdapter,
_: c.WGPUStringView,
userdata1: ?*anyopaque,
_: ?*anyopaque,
) callconv(.c) void {
if (status != c.WGPURequestAdapterStatus_Success) {
std.log.err("Adapter request failed (status={d})", .{status});
return;
}
const ctx: *Ctx = @ptrCast(@alignCast(userdata1.?));
ctx.adapter = adapter;
}
fn onDevice(
status: c.WGPURequestDeviceStatus,
device: c.WGPUDevice,
_: c.WGPUStringView,
userdata1: ?*anyopaque,
_: ?*anyopaque,
) callconv(.c) void {
if (status != c.WGPURequestDeviceStatus_Success) {
std.log.err("Device request failed (status={d})", .{status});
return;
}
const ctx: *Ctx = @ptrCast(@alignCast(userdata1.?));
ctx.device = device;
}
// Allocation stuff
/// Returns the type-erased immutable interface wrapper
pub fn gpuAllocator(self: *const @This()) GpuAllocator {
return .{
.device = self.*,
.ptr = @ptrCast(@constCast(self)),
.vtable = &.{
.allocBuffer = allocBuffer,
.freeBuffer = freeBuffer,
.allocTexture = allocTexture,
.freeTexture = freeTexture,
.allocTextureView = allocTextureView,
.freeTextureView = freeTextureView,
.allocRenderPipeline = allocRenderPipeline,
.freeRenderPipeline = freeRenderPipeline,
.allocComputePipeline = allocComputePipeline,
.freeComputePipeline = freeComputePipeline,
},
};
}
fn allocBuffer(ctx: *anyopaque, desc: c.WGPUBufferDescriptor) anyerror!c.WGPUBuffer {
const self: *@This() = @ptrCast(@alignCast(ctx));
if (desc.size > self.limits.maxBufferSize)
return error.SingleBufferExceedsLimit;
return c.wgpuDeviceCreateBuffer(self.device, &desc) orelse return error.BufferAlloc;
}
fn freeBuffer(_: *anyopaque, raw: c.WGPUBuffer) void {
c.wgpuBufferDestroy(raw);
c.wgpuBufferRelease(raw);
}
fn allocTexture(ctx: *anyopaque, desc: c.WGPUTextureDescriptor) anyerror!c.WGPUTexture {
const self: *@This() = @ptrCast(@alignCast(ctx));
const format: GpuTextureFormat = @enumFromInt(desc.format);
if (desc.size.width * desc.size.height * format.bytesPerPixel() > self.limits.maxBufferSize)
return error.SingleBufferExceedsLimit;
return c.wgpuDeviceCreateTexture(self.device, &desc) orelse return error.Texture;
}
fn freeTexture(_: *anyopaque, raw: c.WGPUTexture) void {
c.wgpuTextureRelease(raw);
}
fn allocTextureView(_: *anyopaque, texture: c.WGPUTexture, desc: c.WGPUTextureViewDescriptor) anyerror!c.WGPUTextureView {
return c.wgpuTextureCreateView(texture, &desc) orelse return error.View;
}
fn freeTextureView(_: *anyopaque, raw: c.WGPUTextureView) void {
c.wgpuTextureViewRelease(raw);
}
fn allocRenderPipeline(ctx: *anyopaque, desc: c.WGPURenderPipelineDescriptor) anyerror!c.WGPURenderPipeline {
const self: *@This() = @ptrCast(@alignCast(ctx));
return c.wgpuDeviceCreateRenderPipeline(self.device, &desc) orelse return error.Pipeline;
}
fn freeRenderPipeline(_: *anyopaque, raw: c.WGPURenderPipeline) void {
c.wgpuRenderPipelineRelease(raw);
}
fn allocComputePipeline(ctx: *anyopaque, desc: c.WGPUComputePipelineDescriptor) anyerror!c.WGPUComputePipeline {
const self: *@This() = @ptrCast(@alignCast(ctx));
return c.wgpuDeviceCreateComputePipeline(self.device, &desc) orelse return error.Pipeline;
}
fn freeComputePipeline(_: *anyopaque, raw: c.WGPUComputePipeline) void {
c.wgpuComputePipelineRelease(raw);
}
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const std = @import("std");
const c = @import("utils.zig").c;
const sv = @import("utils.zig").sv;
const svOpt = @import("utils.zig").svOpt;
const GpuAllocator = @import("GpuAllocator.zig");
const GpuBuffer = @import("GpuBuffer.zig");
const GpuDevice = @import("GpuDevice.zig");
const GpuTextureView = @import("GpuTextureView.zig");
const GpuTextureFormat = @import("lib.zig").GpuTextureFormat;
pub const Binding = struct {
element_size: u32 = 0,
};
pub const GpuRenderDef = struct {
label: ?[]const u8 = null,
bindings: []const Binding = &.{},
/// The surface texture format we are rendering to (e.g., BGRA8Unorm)
texture_format: GpuTextureFormat,
/// The names of the entry points inside your WGSL code
vertex_entry: []const u8 = "vs_main",
fragment_entry: []const u8 = "fs_main",
/// Primitive topology, default to triangle list
topology: GpuPrimitiveTopology = .TriangleList,
};
const GpuPrimitiveTopology = enum(c_uint) {
Undefined = 0x00000000,
PointList = 0x00000001,
LineList = 0x00000002,
LineStrip = 0x00000003,
TriangleList = 0x00000004,
TriangleStrip = 0x00000005,
Force32 = 0x7FFFFFFF,
};
glloc: GpuAllocator,
pip: c.WGPURenderPipeline,
def: GpuRenderDef,
pub fn init(glloc: GpuAllocator, wgsl: []const u8, def: GpuRenderDef) !@This() {
var wgsl_src = c.WGPUShaderSourceWGSL{
.chain = .{ .sType = c.WGPUSType_ShaderSourceWGSL },
.code = sv(wgsl),
};
const shader = c.wgpuDeviceCreateShaderModule(glloc.device.device, &.{
.nextInChain = @ptrCast(&wgsl_src),
}) orelse return error.Shader;
defer c.wgpuShaderModuleRelease(shader);
// 1. Setup the Color Target State (where the fragment shader outputs)
const blend = c.WGPUBlendState{
.color = .{ .operation = c.WGPUBlendOperation_Add, .srcFactor = c.WGPUBlendFactor_SrcAlpha, .dstFactor = c.WGPUBlendFactor_OneMinusSrcAlpha },
.alpha = .{ .operation = c.WGPUBlendOperation_Add, .srcFactor = c.WGPUBlendFactor_One, .dstFactor = c.WGPUBlendFactor_Zero },
};
const color_target = c.WGPUColorTargetState{
.format = @intFromEnum(def.texture_format),
.blend = &blend,
.writeMask = c.WGPUColorWriteMask_All,
};
// 2. Setup the Fragment State
const fragment_state = c.WGPUFragmentState{
.module = shader,
.entryPoint = sv(def.fragment_entry),
.targetCount = 1,
.targets = &color_target,
};
// 3. Compile the Complete Render Pipeline
const pip = try glloc.allocRenderPipeline(.{
.label = svOpt(def.label),
.vertex = .{
.module = shader,
.entryPoint = sv(def.vertex_entry),
},
.primitive = .{
.topology = @intFromEnum(def.topology),
.stripIndexFormat = c.WGPUIndexFormat_Undefined,
.frontFace = c.WGPUFrontFace_CCW,
.cullMode = c.WGPUCullMode_None,
},
.multisample = .{
.count = 1,
.mask = 0xFFFFFFFF,
.alphaToCoverageEnabled = 0,
},
.fragment = &fragment_state,
});
return .{
.glloc = glloc,
.pip = pip,
.def = def,
};
}
pub fn deinit(self: @This()) void {
self.glloc.freeRenderPipeline(self.pip);
}
/// Execute the render pass targeting a specific frame texture view.
/// Passes bind groups via a tuple exactly like your original compute setup.
pub fn draw(
self: @This(),
glloc: GpuAllocator,
target_view: GpuTextureView,
vertex_count: u32,
args: anytype,
) !void {
const type_info = @typeInfo(@TypeOf(args));
if (type_info != .@"struct" or !type_info.@"struct".is_tuple)
@compileError("Expected a tuple of GpuBuffers for args. E.g. .{ uniform_buf }");
const fields = type_info.@"struct".fields;
if (fields.len != self.def.bindings.len)
return error.InvalidArgumentCount;
var entries_buf: [32]c.WGPUBindGroupEntry = undefined;
inline for (fields, 0..) |field, i| {
const buf = @field(args, field.name);
if (@TypeOf(buf) != GpuBuffer) {
@compileError("All arguments in the tuple must be of type GpuBuffer");
}
entries_buf[i] = .{
.binding = @intCast(i),
.buffer = buf.raw,
.offset = 0,
.size = buf.size,
};
}
const entries = entries_buf[0..fields.len];
// Create Render Bind Group from layout
const bgl = c.wgpuRenderPipelineGetBindGroupLayout(self.pip, 0);
defer c.wgpuBindGroupLayoutRelease(bgl);
const bg = c.wgpuDeviceCreateBindGroup(glloc.device.device, &.{
.layout = bgl,
.entries = entries.ptr,
.entryCount = @intCast(entries.len),
}) orelse return error.BindGroup;
defer c.wgpuBindGroupRelease(bg);
// Encode Render Command
const enc = c.wgpuDeviceCreateCommandEncoder(glloc.device.device, null) orelse return error.Encoder;
defer c.wgpuCommandEncoderRelease(enc);
const color_attachment = c.WGPURenderPassColorAttachment{
.view = target_view.raw,
.resolveTarget = null,
.loadOp = c.WGPULoadOp_Clear,
.storeOp = c.WGPUStoreOp_Store,
.clearValue = .{ .r = 0.1, .g = 0.1, .b = 0.1, .a = 1.0 },
.depthSlice = c.WGPU_DEPTH_SLICE_UNDEFINED,
};
const pass_desc = c.WGPURenderPassDescriptor{
.colorAttachmentCount = 1,
.colorAttachments = &color_attachment,
.depthStencilAttachment = null,
};
const pass = c.wgpuCommandEncoderBeginRenderPass(enc, &pass_desc);
c.wgpuRenderPassEncoderSetPipeline(pass, self.pip);
if (fields.len > 0) {
c.wgpuRenderPassEncoderSetBindGroup(pass, 0, bg, 0, null);
}
// Draw! (Instead of Compute Dispatch)
c.wgpuRenderPassEncoderDraw(pass, vertex_count, 1, 0, 0);
c.wgpuRenderPassEncoderEnd(pass);
c.wgpuRenderPassEncoderRelease(pass);
const cmd = c.wgpuCommandEncoderFinish(enc, null);
defer c.wgpuCommandBufferRelease(cmd);
c.wgpuQueueSubmit(glloc.device.queue, 1, &cmd);
}
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const std = @import("std");
const c = @import("utils.zig").c;
const svOpt = @import("utils.zig").svOpt;
const GpuAllocator = @import("GpuAllocator.zig");
const GpuBuffer = @import("GpuBuffer.zig");
const GpuTextureFormat = @import("lib.zig").GpuTextureFormat;
const GpuTextureUsage = @import("lib.zig").GpuTextureUsage;
pub const GpuTextureDef = struct {
label: ?[]const u8 = null,
size: c.WGPUExtent3D,
usage: std.EnumSet(GpuTextureUsage),
format: GpuTextureFormat,
};
raw: c.WGPUTexture,
glloc: GpuAllocator,
def: GpuTextureDef,
pub fn init(glloc: GpuAllocator, def: GpuTextureDef) !@This() {
var use: u64 = 0;
var iter = def.usage.iterator();
while (iter.next()) |flag| use |= @intFromEnum(flag);
const desc = c.WGPUTextureDescriptor{
.label = svOpt(def.label),
.usage = use,
.dimension = c.WGPUTextureDimension_2D,
.size = def.size,
.format = @intFromEnum(def.format),
.mipLevelCount = 1,
.sampleCount = 1,
};
const raw = try glloc.allocTexture(desc);
return .{ .glloc = glloc, .raw = raw, .def = def };
}
pub fn deinit(self: @This()) void {
self.glloc.freeTexture(self.raw);
}
pub fn getConstMappedRange(self: @This(), offset: u64, size: u64) ?*const anyopaque {
return c.wgpuBufferGetConstMappedRange(self.raw, offset, size);
}
pub fn bytesSize(self: @This()) u32 {
return self.bytesSizeRow() * self.def.size.height;
}
pub fn bytesSizeRow(self: @This()) u32 {
return self.def.size.width * self.def.format.bytesPerPixel();
}
/// Return a GpuBuffer containing a copy of the texture.
pub fn buffCopy(self: @This(), glloc: GpuAllocator) !GpuBuffer {
const buf = try GpuBuffer.init(glloc, .{
.size = self.bytesSize(),
.usage = .initMany(&.{ .CopyDst, .CopySrc }),
.label = "texture_copy_buffer",
});
const enc = c.wgpuDeviceCreateCommandEncoder(glloc.device.device, null) orelse return error.Encoder;
defer c.wgpuCommandEncoderRelease(enc);
const src_copy = c.WGPUTexelCopyTextureInfo{
.texture = self.raw,
.mipLevel = 0,
.origin = .{ .x = 0, .y = 0, .z = 0 },
.aspect = c.WGPUTextureAspect_All,
};
const dst_copy = c.WGPUTexelCopyBufferInfo{
.buffer = buf.raw,
.layout = .{
.offset = 0,
.bytesPerRow = self.bytesSizeRow(),
.rowsPerImage = self.def.size.height,
},
};
c.wgpuCommandEncoderCopyTextureToBuffer(enc, &src_copy, &dst_copy, &self.def.size);
const cmd = c.wgpuCommandEncoderFinish(enc, null);
defer c.wgpuCommandBufferRelease(cmd);
c.wgpuQueueSubmit(glloc.device.queue, 1, &cmd);
return buf;
}
pub fn mapAsync(
self: @This(),
mode: c.WGPUMapMode,
offset: u64,
size: u64,
callback_info: c.WGPUBufferMapCallbackInfo,
) void {
_ = c.wgpuBufferMapAsync(self.raw, mode, offset, size, callback_info);
}
pub fn unmap(self: @This()) void {
c.wgpuBufferUnmap(self.raw);
}
/// CPU to GPU
pub fn load(
self: @This(),
T: type,
data: []const T,
) !void {
const bytes = data.len * @sizeOf(T);
c.wgpuQueueWriteTexture(
self.glloc.device.queue,
&.{
.texture = self.raw,
.mipLevel = 0,
.origin = .{ .x = 0, .y = 0, .z = 0 },
.aspect = c.WGPUTextureAspect_All,
},
data.ptr,
bytes,
&.{
.offset = 0,
.bytesPerRow = self.bytesSizeRow(),
.rowsPerImage = self.def.size.height,
},
&self.def.size,
);
}
// GPU to CPU
pub fn read(self: @This(), alloc: std.mem.Allocator, T: type) ![]T {
const out = try alloc.alloc(T, @divExact(self.size, @sizeOf(T)));
const staging = try init(self.glloc, .{
.size = self.size,
.usage = .initMany(&.{ .MapRead, .CopyDst }),
.label = "texture_read_staging",
});
defer staging.deinit();
const enc = c.wgpuDeviceCreateCommandEncoder(self.glloc.device.device, null) orelse return error.Encoder;
const src_copy = c.WGPUTexelCopyTextureInfo{
.texture = self.raw,
.mipLevel = 0,
.origin = .{ .x = 0, .y = 0, .z = 0 },
.aspect = c.WGPUTextureAspect_All,
};
const dst_copy = c.WGPUTexelCopyBufferInfo{
.buffer = staging.raw,
.layout = .{
.offset = 0,
.bytesPerRow = self.bytesSizeRow(),
.rowsPerImage = self.def.size.height,
},
};
c.wgpuCommandEncoderCopyTextureToBuffer(enc, &src_copy, &dst_copy, &self.def.size);
const cmd = c.wgpuCommandEncoderFinish(enc, null);
defer c.wgpuCommandEncoderRelease(enc);
defer c.wgpuCommandBufferRelease(cmd);
c.wgpuQueueSubmit(self.glloc.device.queue, 1, &cmd);
var mapped = false;
staging.mapAsync(
c.WGPUMapMode_Read,
0,
self.size,
.{ .callback = onMapped, .userdata1 = &mapped },
);
while (!mapped) self.glloc.device.poll();
const ptr: [*]const T = @ptrCast(@alignCast(
staging.getConstMappedRange(0, self.size),
));
@memcpy(out[0..out.len], ptr[0..out.len]);
staging.unmap();
return out;
}
fn onMapped(
status: c.WGPUMapAsyncStatus,
_: c.WGPUStringView,
userdata1: ?*anyopaque,
_: ?*anyopaque,
) callconv(.c) void {
const flag: *bool = @ptrCast(@alignCast(userdata1.?));
flag.* = (status == c.WGPUMapAsyncStatus_Success);
}
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const std = @import("std");
const c = @import("utils.zig").c;
const svOpt = @import("utils.zig").svOpt;
const GpuAllocator = @import("GpuAllocator.zig");
const GpuTexture = @import("lib.zig").GpuTexture;
const GpuTextureFormat = @import("lib.zig").GpuTextureFormat;
const GpuTextureUsage = @import("lib.zig").GpuTextureUsage;
pub const GpuViewDef = struct {
label: ?[]const u8 = null,
usage: std.EnumSet(GpuTextureUsage) = .empty,
format: GpuTextureFormat = .Undefined,
};
raw: c.WGPUTextureView,
glloc: GpuAllocator,
pub fn init(glloc: GpuAllocator, texture: GpuTexture, def: GpuViewDef) !@This() {
var use: u64 = 0;
var iter = def.usage.iterator();
while (iter.next()) |flag| use |= @intFromEnum(flag);
const raw = try glloc.allocTextureView(texture.raw, .{
.label = svOpt(def.label),
.format = @intFromEnum(def.format),
.usage = use,
.mipLevelCount = 1,
.arrayLayerCount = 1,
});
return .{ .glloc = glloc, .raw = raw };
}
pub fn deinit(self: @This()) void {
self.glloc.freeTextureView(self.raw);
}
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const std = @import("std");
const c = @import("c.zig").c;
const GpuAllocator = @import("GpuAllocator.zig");
const Mat = @This();
buf: c.WGPUBuffer,
rows: u32,
cols: u32,
// ── Lifecycle ─────────────────────────────────────────────────────────────
/// Allocate GPU buffer and upload `data`. `data.len` must equal rows*cols.
pub fn load(
gloc: *GpuAllocator,
data: []const f32,
rows: u32,
cols: u32,
) !Mat {
std.debug.assert(data.len == @as(usize, rows) * cols);
const bytes = data.len * @sizeOf(f32);
const buf = try gloc.makeBuffer(
bytes,
c.WGPUBufferUsage_Storage |
c.WGPUBufferUsage_CopyDst |
c.WGPUBufferUsage_CopySrc,
);
c.wgpuQueueWriteBuffer(gloc.queue, buf, 0, data.ptr, bytes);
return .{ .buf = buf, .rows = rows, .cols = cols };
}
/// Allocate zeroed GPU buffer (no upload).
pub fn zeros(gloc: *GpuAllocator, rows: u32, cols: u32) !Mat {
const bytes: u64 = @as(u64, rows) * cols * @sizeOf(f32);
const buf = try gloc.makeBuffer(
bytes,
c.WGPUBufferUsage_Storage |
c.WGPUBufferUsage_CopyDst |
c.WGPUBufferUsage_CopySrc,
);
return .{ .buf = buf, .rows = rows, .cols = cols };
}
pub fn deinit(self: Mat) void {
c.wgpuBufferRelease(self.buf);
}
pub fn len(self: Mat) u32 {
return self.rows * self.cols;
}
pub fn byteSize(self: Mat) u64 {
return @as(u64, self.len()) * @sizeOf(f32);
}
/// Element-wise add. Shapes must match. Returns new Mat (caller owns).
pub fn add(self: Mat, gloc: *GpuAllocator, other: Mat) !Mat {
std.debug.assert(self.rows == other.rows and self.cols == other.cols);
const result = try Mat.zeros(gloc, self.rows, self.cols);
errdefer result.deinit();
const pipeline = try gloc.pipAdd();
try dispatch2in1out(gloc, pipeline, self.buf, other.buf, result.buf, self.byteSize(), self.len());
return result;
}
/// Element-wise multiply by scalar. Returns new Mat (caller owns).
pub fn scale(self: Mat, gloc: *GpuAllocator, scalar: f32) !Mat {
const result = try Mat.zeros(gloc, self.rows, self.cols);
errdefer result.deinit();
const bytes = self.byteSize();
const n = self.len();
// Upload scalar as uniform buffer
const uni_buf = try gloc.makeBuffer(
@sizeOf(f32),
c.WGPUBufferUsage_Uniform | c.WGPUBufferUsage_CopyDst,
);
defer c.wgpuBufferRelease(uni_buf);
c.wgpuQueueWriteBuffer(gloc.queue, uni_buf, 0, &scalar, @sizeOf(f32));
const pipeline = try gloc.pipScale();
const bgl = c.wgpuComputePipelineGetBindGroupLayout(pipeline, 0);
defer c.wgpuBindGroupLayoutRelease(bgl);
const entries = [_]c.WGPUBindGroupEntry{
.{ .binding = 0, .buffer = self.buf, .offset = 0, .size = bytes },
.{ .binding = 1, .buffer = result.buf, .offset = 0, .size = bytes },
.{ .binding = 2, .buffer = uni_buf, .offset = 0, .size = @sizeOf(f32) },
};
try submitPass(gloc, pipeline, &entries, n);
return result;
}
/// Read GPU buffer back to CPU. `out.len` must be >= rows*cols.
pub fn read(self: Mat, gloc: *GpuAllocator, out: []f32) !void {
std.debug.assert(out.len >= self.len());
const bytes = self.byteSize();
const staging = try gloc.makeBuffer(
bytes,
c.WGPUBufferUsage_MapRead | c.WGPUBufferUsage_CopyDst,
);
defer c.wgpuBufferRelease(staging);
// Copy result → staging
const enc = c.wgpuDeviceCreateCommandEncoder(gloc.device, null) orelse
return error.Encoder;
c.wgpuCommandEncoderCopyBufferToBuffer(enc, self.buf, 0, staging, 0, bytes);
const cmd = c.wgpuCommandEncoderFinish(enc, null);
defer c.wgpuCommandEncoderRelease(enc);
defer c.wgpuCommandBufferRelease(cmd);
c.wgpuQueueSubmit(gloc.queue, 1, &cmd);
// Map and copy to slice
var mapped = false;
_ = c.wgpuBufferMapAsync(
staging,
c.WGPUMapMode_Read,
0,
bytes,
.{ .callback = onMapped, .userdata1 = &mapped },
);
while (!mapped) gloc.poll();
const ptr: [*]const f32 = @ptrCast(@alignCast(
c.wgpuBufferGetConstMappedRange(staging, 0, bytes),
));
@memcpy(out[0..self.len()], ptr[0..self.len()]);
c.wgpuBufferUnmap(staging);
}
fn onMapped(
status: c.WGPUMapAsyncStatus,
_: c.WGPUStringView,
userdata1: ?*anyopaque,
_: ?*anyopaque,
) callconv(.c) void {
const flag: *bool = @ptrCast(@alignCast(userdata1.?));
flag.* = (status == c.WGPUMapAsyncStatus_Success);
}
// ── Dispatch helpers ──────────────────────────────────────────────────────────
/// Encode + submit a 2-input, 1-output compute pass (used by add).
fn dispatch2in1out(
gloc: *GpuAllocator,
pipeline: c.WGPUComputePipeline,
buf_a: c.WGPUBuffer,
buf_b: c.WGPUBuffer,
buf_out: c.WGPUBuffer,
bytes: u64,
n: u32,
) !void {
const bgl = c.wgpuComputePipelineGetBindGroupLayout(pipeline, 0);
defer c.wgpuBindGroupLayoutRelease(bgl);
const entries = [_]c.WGPUBindGroupEntry{
.{ .binding = 0, .buffer = buf_a, .offset = 0, .size = bytes },
.{ .binding = 1, .buffer = buf_b, .offset = 0, .size = bytes },
.{ .binding = 2, .buffer = buf_out, .offset = 0, .size = bytes },
};
try submitPass(gloc, pipeline, &entries, n);
}
/// Create bind group, encode pass, submit. workgroup_size=64.
fn submitPass(
gloc: *GpuAllocator,
pipeline: c.WGPUComputePipeline,
entries: []const c.WGPUBindGroupEntry,
n: u32,
) !void {
const bgl = c.wgpuComputePipelineGetBindGroupLayout(pipeline, 0);
defer c.wgpuBindGroupLayoutRelease(bgl);
const bg = c.wgpuDeviceCreateBindGroup(gloc.device, &.{
.layout = bgl,
.entries = entries.ptr,
.entryCount = entries.len,
}) orelse return error.BindGroup;
defer c.wgpuBindGroupRelease(bg);
const enc = c.wgpuDeviceCreateCommandEncoder(gloc.device, null) orelse
return error.Encoder;
const pass = c.wgpuCommandEncoderBeginComputePass(enc, null);
c.wgpuComputePassEncoderSetPipeline(pass, pipeline);
c.wgpuComputePassEncoderSetBindGroup(pass, 0, bg, 0, null);
c.wgpuComputePassEncoderDispatchWorkgroups(pass, ceilDiv(n, 64), 1, 1);
c.wgpuComputePassEncoderEnd(pass);
c.wgpuComputePassEncoderRelease(pass);
const cmd = c.wgpuCommandEncoderFinish(enc, null);
defer c.wgpuCommandEncoderRelease(enc);
defer c.wgpuCommandBufferRelease(cmd);
c.wgpuQueueSubmit(gloc.queue, 1, &cmd);
}
fn ceilDiv(n: u32, d: u32) u32 {
return (n + d - 1) / d;
}
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pub const c = @cImport(@cInclude("wgpu.h"));
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pub const GpuAllocator = @import("GpuAllocator.zig"); pub const GpuAllocator = @import("GpuAllocator.zig");
pub const GpuArenaAllocator = @import("GpuArenaAllocator.zig");
pub const GpuBuffer = @import("GpuBuffer.zig");
pub const GpuDevice = @import("GpuDevice.zig");
pub const GpuCompute = @import("GpuCompute.zig");
pub const GpuRender = @import("GpuRender.zig");
pub const GpuTexture = @import("GpuTexture.zig");
pub const GpuTextureView = @import("GpuTextureView.zig");
pub const GpuTextureFormat = enum(c_uint) {
Undefined = 0,
R8Unorm = 1,
R8Snorm = 2,
R8Uint = 3,
R8Sint = 4,
R16Unorm = 5,
R16Snorm = 6,
R16Uint = 7,
R16Sint = 8,
R16Float = 9,
RG8Unorm = 10,
RG8Snorm = 11,
RG8Uint = 12,
RG8Sint = 13,
R32Float = 14,
R32Uint = 15,
R32Sint = 16,
RG16Unorm = 17,
RG16Snorm = 18,
RG16Uint = 19,
RG16Sint = 20,
RG16Float = 21,
RGBA8Unorm = 22,
RGBA8UnormSrgb = 23,
RGBA8Snorm = 24,
RGBA8Uint = 25,
RGBA8Sint = 26,
BGRA8Unorm = 27,
BGRA8UnormSrgb = 28,
RGB10A2Uint = 29,
RGB10A2Unorm = 30,
RG11B10Ufloat = 31,
RGB9E5Ufloat = 32,
RG32Float = 33,
RG32Uint = 34,
RG32Sint = 35,
RGBA16Unorm = 36,
RGBA16Snorm = 37,
RGBA16Uint = 38,
RGBA16Sint = 39,
RGBA16Float = 40,
RGBA32Float = 41,
RGBA32Uint = 42,
RGBA32Sint = 43,
Stencil8 = 44,
Depth16Unorm = 45,
Depth24Plus = 46,
Depth24PlusStencil8 = 47,
Depth32Float = 48,
Depth32FloatStencil8 = 49,
BC1RGBAUnorm = 50,
BC1RGBAUnormSrgb = 51,
BC2RGBAUnorm = 52,
BC2RGBAUnormSrgb = 53,
BC3RGBAUnorm = 54,
BC3RGBAUnormSrgb = 55,
BC4RUnorm = 56,
BC4RSnorm = 57,
BC5RGUnorm = 58,
BC5RGSnorm = 59,
BC6HRGBUfloat = 60,
BC6HRGBFloat = 61,
BC7RGBAUnorm = 62,
BC7RGBAUnormSrgb = 63,
ETC2RGB8Unorm = 64,
ETC2RGB8UnormSrgb = 65,
ETC2RGB8A1Unorm = 66,
ETC2RGB8A1UnormSrgb = 67,
ETC2RGBA8Unorm = 68,
ETC2RGBA8UnormSrgb = 69,
EACR11Unorm = 70,
EACR11Snorm = 71,
EACRG11Unorm = 72,
EACRG11Snorm = 73,
ASTC4x4Unorm = 74,
ASTC4x4UnormSrgb = 75,
ASTC5x4Unorm = 76,
ASTC5x4UnormSrgb = 77,
ASTC5x5Unorm = 78,
ASTC5x5UnormSrgb = 79,
ASTC6x5Unorm = 80,
ASTC6x5UnormSrgb = 81,
ASTC6x6Unorm = 82,
ASTC6x6UnormSrgb = 83,
ASTC8x5Unorm = 84,
ASTC8x5UnormSrgb = 85,
ASTC8x6Unorm = 86,
ASTC8x6UnormSrgb = 87,
ASTC8x8Unorm = 88,
ASTC8x8UnormSrgb = 89,
ASTC10x5Unorm = 90,
ASTC10x5UnormSrgb = 91,
ASTC10x6Unorm = 92,
ASTC10x6UnormSrgb = 93,
ASTC10x8Unorm = 94,
ASTC10x8UnormSrgb = 95,
ASTC10x10Unorm = 96,
ASTC10x10UnormSrgb = 97,
ASTC12x10Unorm = 98,
ASTC12x10UnormSrgb = 99,
ASTC12x12Unorm = 100,
ASTC12x12UnormSrgb = 101,
Force32 = 2147483647,
pub fn bytesPerPixel(format: GpuTextureFormat) u32 {
return switch (format) {
// 8-bit formats (1 byte)
.R8Unorm, .R8Snorm, .R8Uint, .R8Sint, .Stencil8 => 1,
// 16-bit formats (2 bytes)
.R16Unorm,
.R16Snorm,
.R16Uint,
.R16Sint,
.R16Float,
.RG8Unorm,
.RG8Snorm,
.RG8Uint,
.RG8Sint,
.Depth16Unorm,
=> 2,
// 32-bit formats (4 bytes)
.R32Float,
.R32Uint,
.R32Sint,
.RG16Unorm,
.RG16Snorm,
.RG16Uint,
.RG16Sint,
.RG16Float,
.RGBA8Unorm,
.RGBA8UnormSrgb,
.RGBA8Snorm,
.RGBA8Uint,
.RGBA8Sint,
.BGRA8Unorm,
.BGRA8UnormSrgb,
.RGB10A2Uint,
.RGB10A2Unorm,
.RG11B10Ufloat,
.RGB9E5Ufloat,
.Depth24Plus,
.Depth32Float,
=> 4,
// 64-bit formats (8 bytes)
.RG32Float,
.RG32Uint,
.RG32Sint,
.RGBA16Unorm,
.RGBA16Snorm,
.RGBA16Uint,
.RGBA16Sint,
.RGBA16Float,
.Depth24PlusStencil8, // 24-bit depth + 8-bit stencil layout padded to 4+4 or 1+3
.Depth32FloatStencil8, // 32-bit float depth + 8-bit stencil (padded to 8 bytes)
=> 8,
// 128-bit formats (16 bytes)
.RGBA32Float, .RGBA32Uint, .RGBA32Sint => 16,
// Block Compressed Formats (Handled separately)
else => 0,
};
}
};
pub const GpuTextureUsage = enum(u64) {
None = 0x0000000000000000,
CopySrc = 0x0000000000000001,
CopyDst = 0x0000000000000002,
TextureBinding = 0x0000000000000004,
StorageBinding = 0x0000000000000008,
RenderAttachment = 0x0000000000000010,
TransientAttachment = 0x0000000000000020,
};
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const std = @import("std");
const GpuAllocator = @import("GpuAllocator.zig");
const Mat = @import("Mat.zig");
pub fn main() !void {
var gloc = try GpuAllocator.init();
defer gloc.deinit();
// Input data: a[i] = i, b[i] = 15 - i → add should give all 15s
var data_a: [16]f32 = undefined;
var data_b: [16]f32 = undefined;
for (0..16) |i| {
data_a[i] = @floatFromInt(i);
data_b[i] = @floatFromInt(15 - i);
}
const a = try Mat.load(&gloc, &data_a, 4, 4);
defer a.deinit();
const b = try Mat.load(&gloc, &data_b, 4, 4);
defer b.deinit();
// a + b
const sum = try a.add(&gloc, b);
defer sum.deinit();
// sum * 2
const scaled = try sum.scale(&gloc, 2.0);
defer scaled.deinit();
// Read back
var out_sum: [16]f32 = undefined;
var out_scaled: [16]f32 = undefined;
try sum.read(&gloc, &out_sum);
try scaled.read(&gloc, &out_scaled);
// Print
std.debug.print("\na + b (expect all 15):\n", .{});
printMat(&out_sum, 4, 4);
std.debug.print("\n(a + b) * 2 (expect all 30):\n", .{});
printMat(&out_scaled, 4, 4);
}
fn printMat(data: []const f32, rows: u32, cols: u32) void {
for (0..rows) |r| {
for (0..cols) |col|
std.debug.print("{d:6.0}", .{data[r * cols + col]});
std.debug.print("\n", .{});
}
}
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// Minimal WebGPU compute in Zig: element-wise matrix addition
// Uses wgpu-native C bindings.
// Build: see ../build.zig
//
// Data flow:
// CPU (mat_a, mat_b) → GPU storage buffers → compute shader → GPU buf_c
// → staging buffer (mapped) → CPU read → print
const std = @import("std");
const c = @cImport(@cInclude("wgpu.h"));
// ── Config ────────────────────────────────────────────────────────────────────
const ROWS: u32 = 4;
const COLS: u32 = 4;
const N = ROWS * COLS; // 16 elements
const BUF_BYTES = N * @sizeOf(f32);
// ── WGSL Compute Shader ───────────────────────────────────────────────────────
// workgroup_size(4,4) matches one full 4×4 matrix → dispatch(1,1,1)
const SHADER =
\\@group(0) @binding(0) var<storage, read> mat_a : array<f32>;
\\@group(0) @binding(1) var<storage, read> mat_b : array<f32>;
\\@group(0) @binding(2) var<storage, read_write> mat_c : array<f32>;
\\
\\@compute @workgroup_size(4, 4)
\\fn main(@builtin(global_invocation_id) gid : vec3<u32>) {
\\ let idx = gid.y * 4u + gid.x;
\\ if (idx < arrayLength(&mat_c)) {
\\ mat_c[idx] = mat_a[idx] + mat_b[idx];
\\ }
\\}
;
// ── Callback state ────────────────────────────────────────────────────────────
const Ctx = struct {
adapter: c.WGPUAdapter = null,
device: c.WGPUDevice = null,
};
fn onAdapter(
status: c.WGPURequestAdapterStatus,
adapter: c.WGPUAdapter,
_: c.WGPUStringView,
userdata1: ?*anyopaque,
_: ?*anyopaque,
) callconv(.c) void {
if (status != c.WGPURequestAdapterStatus_Success) {
std.log.err("Adapter request failed (status={d})", .{status});
return;
}
const ctx: *Ctx = @ptrCast(@alignCast(userdata1.?));
ctx.adapter = adapter;
}
fn onDevice(
status: c.WGPURequestDeviceStatus,
device: c.WGPUDevice,
_: c.WGPUStringView,
userdata1: ?*anyopaque,
_: ?*anyopaque,
) callconv(.c) void {
if (status != c.WGPURequestDeviceStatus_Success) {
std.log.err("Device request failed (status={d})", .{status});
return;
}
const ctx: *Ctx = @ptrCast(@alignCast(userdata1.?));
ctx.device = device;
std.debug.print("{?}", .{device});
}
fn onMapped(
status: c.WGPUMapAsyncStatus,
_: c.WGPUStringView,
userdata1: ?*anyopaque,
_: ?*anyopaque,
) callconv(.c) void {
const flag: *bool = @ptrCast(@alignCast(userdata1.?));
flag.* = (status == c.WGPUMapAsyncStatus_Success);
}
fn sv(s: []const u8) c.WGPUStringView {
return .{ .data = s.ptr, .length = s.len };
}
// ── Main ──────────────────────────────────────────────────────────────────────
pub fn main() !void {
// 1. Instance ──────────────────────────────────────────────────────────────
const instance = c.wgpuCreateInstance(&std.mem.zeroes(c.WGPUInstanceDescriptor)) orelse
return error.NoInstance;
defer c.wgpuInstanceRelease(instance);
// 2. Adapter (async → poll) ────────────────────────────────────────────────
var ctx = Ctx{};
_ = c.wgpuInstanceRequestAdapter(
instance,
&.{ .powerPreference = c.WGPUPowerPreference_HighPerformance },
.{ .callback = onAdapter, .userdata1 = &ctx },
);
c.wgpuInstanceProcessEvents(instance); // drive callbacks
const adapter = ctx.adapter orelse return error.NoAdapter;
defer c.wgpuAdapterRelease(adapter);
// 3. Device ────────────────────────────────────────────────────────────────
_ = c.wgpuAdapterRequestDevice(adapter, null, .{ .callback = onDevice, .userdata1 = &ctx });
c.wgpuInstanceProcessEvents(instance);
const device = ctx.device orelse return error.NoDevice;
defer c.wgpuDeviceRelease(device);
const queue = c.wgpuDeviceGetQueue(device);
defer c.wgpuQueueRelease(queue);
// 4. Input data ────────────────────────────────────────────────────────────
// mat_a[i] = i (0 … 15)
// mat_b[i] = 15 − i → every element of mat_c should equal 15
var mat_a: [N]f32 = undefined;
var mat_b: [N]f32 = undefined;
for (0..N) |i| {
mat_a[i] = @floatFromInt(i);
mat_b[i] = @floatFromInt(N - 1 - i);
}
// 5. GPU Buffers ───────────────────────────────────────────────────────────
const buf_a = c.wgpuDeviceCreateBuffer(device, &.{
.usage = c.WGPUBufferUsage_Storage | c.WGPUBufferUsage_CopyDst,
.size = BUF_BYTES,
}) orelse return error.BufferA;
const buf_b = c.wgpuDeviceCreateBuffer(device, &.{
.usage = c.WGPUBufferUsage_Storage | c.WGPUBufferUsage_CopyDst,
.size = BUF_BYTES,
}) orelse return error.BufferB;
// buf_c: GPU-only result; staging: CPU-readable copy
const buf_c = c.wgpuDeviceCreateBuffer(device, &.{
.usage = c.WGPUBufferUsage_Storage | c.WGPUBufferUsage_CopySrc,
.size = BUF_BYTES,
}) orelse return error.BufferC;
const buf_staging = c.wgpuDeviceCreateBuffer(device, &.{
.usage = c.WGPUBufferUsage_MapRead | c.WGPUBufferUsage_CopyDst,
.size = BUF_BYTES,
}) orelse return error.BufferStaging;
defer c.wgpuBufferRelease(buf_a);
defer c.wgpuBufferRelease(buf_b);
defer c.wgpuBufferRelease(buf_c);
defer c.wgpuBufferRelease(buf_staging);
// Upload inputs
c.wgpuQueueWriteBuffer(queue, buf_a, 0, &mat_a, BUF_BYTES);
c.wgpuQueueWriteBuffer(queue, buf_b, 0, &mat_b, BUF_BYTES);
// 6. Shader module ─────────────────────────────────────────────────────────
// ✅ New API (0.20+)
var wgsl_src = c.WGPUShaderSourceWGSL{
.chain = .{ .sType = c.WGPUSType_ShaderSourceWGSL },
.code = sv(SHADER),
};
const shader = c.wgpuDeviceCreateShaderModule(device, &.{
.nextInChain = @ptrCast(&wgsl_src),
}) orelse return error.Shader;
// 7. Compute pipeline (layout auto-inferred from shader) ───────────────────
// ✅
const pipeline = c.wgpuDeviceCreateComputePipeline(device, &.{
.compute = .{
.module = shader,
.entryPoint = sv("main"),
},
}) orelse return error.Pipeline;
defer c.wgpuComputePipelineRelease(pipeline);
// 8. Bind group ────────────────────────────────────────────────────────────
const bgl = c.wgpuComputePipelineGetBindGroupLayout(pipeline, 0);
defer c.wgpuBindGroupLayoutRelease(bgl);
const entries = [_]c.WGPUBindGroupEntry{
.{ .binding = 0, .buffer = buf_a, .offset = 0, .size = BUF_BYTES },
.{ .binding = 1, .buffer = buf_b, .offset = 0, .size = BUF_BYTES },
.{ .binding = 2, .buffer = buf_c, .offset = 0, .size = BUF_BYTES },
};
const bind_group = c.wgpuDeviceCreateBindGroup(device, &.{
.layout = bgl,
.entries = &entries,
.entryCount = entries.len,
}) orelse return error.BindGroup;
defer c.wgpuBindGroupRelease(bind_group);
// 9. Encode compute pass + buffer copy ────────────────────────────────────
const encoder = c.wgpuDeviceCreateCommandEncoder(device, null) orelse
return error.Encoder;
const pass = c.wgpuCommandEncoderBeginComputePass(encoder, null);
c.wgpuComputePassEncoderSetPipeline(pass, pipeline);
c.wgpuComputePassEncoderSetBindGroup(pass, 0, bind_group, 0, null);
// dispatch(1,1,1): one workgroup of size (4,4) covers the whole 4×4 matrix
c.wgpuComputePassEncoderDispatchWorkgroups(pass, 1, 1, 1);
c.wgpuComputePassEncoderEnd(pass);
c.wgpuComputePassEncoderRelease(pass);
// Copy result buffer → CPU-readable staging buffer
c.wgpuCommandEncoderCopyBufferToBuffer(encoder, buf_c, 0, buf_staging, 0, BUF_BYTES);
const cmdbuf = c.wgpuCommandEncoderFinish(encoder, null);
defer c.wgpuCommandEncoderRelease(encoder);
defer c.wgpuCommandBufferRelease(cmdbuf);
// 10. Submit ───────────────────────────────────────────────────────────────
c.wgpuQueueSubmit(queue, 1, &cmdbuf);
// 11. Map staging buffer back to CPU ──────────────────────────────────────
var mapped = false;
_ = c.wgpuBufferMapAsync(
buf_staging,
c.WGPUMapMode_Read,
0,
BUF_BYTES,
.{ .callback = onMapped, .userdata1 = &mapped },
);
// Poll the device until the async map completes
while (!mapped) _ = c.wgpuDevicePoll(device, 1, null);
const ptr: [*]const f32 = @ptrCast(@alignCast(
c.wgpuBufferGetConstMappedRange(buf_staging, 0, BUF_BYTES),
));
const result = ptr[0..N];
// 12. Print ────────────────────────────────────────────────────────────────
std.debug.print("\nmat_a + mat_b ({d}×{d}):\n", .{ ROWS, COLS });
for (0..ROWS) |r| {
for (0..COLS) |col|
std.debug.print("{d:6.0}", .{result[r * COLS + col]});
std.debug.print("\n", .{});
}
// Expected output: every cell = 15.0
c.wgpuBufferUnmap(buf_staging);
}
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pub const SHADER_ADD =
\\@group(0) @binding(0) var<storage, read> a : array<f32>;
\\@group(0) @binding(1) var<storage, read> b : array<f32>;
\\@group(0) @binding(2) var<storage, read_write> out : array<f32>;
\\
\\@compute @workgroup_size(64)
\\fn main(@builtin(global_invocation_id) gid : vec3<u32>) {
\\ let i = gid.x;
\\ if (i < arrayLength(&out)) {
\\ out[i] = a[i] + b[i];
\\ }
\\}
;
pub const SHADER_SCALE =
\\struct Uniforms { scalar : f32 }
\\@group(0) @binding(0) var<storage, read> a : array<f32>;
\\@group(0) @binding(1) var<storage, read_write> out : array<f32>;
\\@group(0) @binding(2) var<uniform> u : Uniforms;
\\
\\@compute @workgroup_size(64)
\\fn main(@builtin(global_invocation_id) gid : vec3<u32>) {
\\ let i = gid.x;
\\ if (i < arrayLength(&out)) {
\\ out[i] = a[i] * u.scalar;
\\ }
\\}
;
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pub const c = @cImport(@cInclude("wgpu.h"));
pub fn sv(s: []const u8) c.WGPUStringView {
return .{ .data = s.ptr, .length = s.len };
}
/// Allows safely passing an optional Zig string to a WebGPU string view.
pub fn svOpt(s: ?[]const u8) c.WGPUStringView {
if (s) |str| return sv(str);
return .{ .data = null, .length = 0 };
}
/// Helper to print a WGPUStringView in your logs.
pub fn viewStr(view: c.WGPUStringView) []const u8 {
if (view.data != null and view.length > 0) {
return view.data[0..view.length];
}
return "unnamed";
}